Some papers on Knowledge Graph Embedding (KGE).

I am terribly sorry that the original repository is blocked.

Thanks for your attention and kind words! I will update KGE later.

• Libraries
• Methodologies
• Papers

• µKG code
• AmpliGraph code
• DGL-KE code
• GraphVite code
• LibKGE code
• NeuralKG code
• OpenKE code
• PyKEEN code
• Pykg2vec code
• PyTorch-BigGraph code
• Scikit-KGE code
• StellerGraph code
• TorchKGE code

• (InversEF) Qianjin Zhang, Yandan Xu. "Knowledge graph embedding with inverse function representation for link prediction". paper

• (MSHE) Dan Jiang, Ronggui Wang, Lixia Xue, Juan Yang. "Multisource hierarchical neural network for knowledge graph embedding". paper

• (WTKGE) Yuanfei Dai, Wenzhong Guo, Carsten Eickhoff. "Wasserstein adversarial learning based temporal knowledge graph embedding". paper

• (TCIE) Tao Wang, Bo Shen, Jinglin Zhang, Yu Zhong. "Knowledge Graph Embedding via Triplet Component Interactions". paper

• (FSTRE) Hao Ji, Li Yan, Zongmin Ma. "FSTRE: Fuzzy Spatiotemporal RDF Knowledge Graph Embedding Using Uncertain Dynamic Vector Projection and Rotation". paper

• (KGMixup) Tianyang Xie, Yong Ge. "Enhance Knowledge Graph Embedding by Mixup". paper

• (EmReCo) Jingbin Wang, Jing Lei, Shounan Sun, Kun Guo. "Embeddings based on relation-specific constraints for open world knowledge graph completion". Applied Intelligence 2023. paper

• (GLANet) Jingbin Wang, Xinyu Lin, Hao Huang, Xifan Ke, Renfei Wu, Changkai You, Kun Guo. "GLANet: temporal knowledge graph completion based on global and local information-aware network". Applied Intelligence 2023. paper

• (RMLH) Yi Xia, Junyong Luo, Mingjing Lan, Gang Zhou, Zhibo Li, Shuo Liu. "Reason more like human: Incorporating meta information into hierarchical reinforcement learning for knowledge graph reasoning". Applied Intelligence 2023. paper

• (RotatPRH) Thanh Le, Ngoc Huynh, Bac Le. "Knowledge graph embedding by projection and rotation on hyperplanes for link prediction". Applied Intelligence 2023. paper

• (TBDRI) Mei Yu, Jiujiang Guo, Jian Yu, Tianyi Xu, Mankun Zhao, Hongwei Liu, Xuewei Li, Ruiguo Yu. "TBDRI: block decomposition based on relational interaction for temporal knowledge graph completion". Applied Intelligence 2023. paper

• (TNTSimplE) Peng He, Gang Zhou, Mengli Zhang, Jianghong Wei, Jing Chen. "Improving temporal knowledge graph embedding using tensor factorization". Applied Intelligence 2023. paper

• (ReTIN) Yan Jia, Mengqi Lin, Ye Wang, Jianming Li, Kai Chen, Joanna Siebert, Geordie Z. Zhang, Qing Liao. "Extrapolation over temporal knowledge graph via hyperbolic embedding". CAAI Transactions on Intelligence Technology 2023. paper

• (UKGCSR) Guoming Lu, Hao Zhang, Ke Qin, Kai Du. "A causal-based symbolic reasoning framework for uncertain knowledge graphs". Computers and Electrical Engineering 2023. paper

• (BDRI) Mei Yu, Jiujiang Guo, Jian Yu, Tianyi Xu, Mankun Zhao, Hongwei Liu, Xuewei Li, Ruiguo Yu. "BDRI: block decomposition based on relational interaction for knowledge graph completion". Data Mining and Knowledge Discovery 2023. paper

• (RoAN) Luyi Bai, Xiangnan Ma, Xiangxi Meng, Xin Ren, Yujing Ke. "RoAN: A relation-oriented attention network for temporal knowledge graph completion". Engineering Applications of Artificial Intelligence 2023. paper

• (ConvRot) Thanh Le, Nam Le, Bac Le. "Knowledge graph embedding by relational rotation and complex convolution for link prediction". Expert Systems With Applications 2023. paper code

• (D-AEN) Haichuan Fang, Youwei Wang, Zhen Tian, Yangdong Ye. "Learning knowledge graph embedding with a dual-attention embedding network". Expert Systems With Applications 2023. paper code

• (DRR-GAT) Xin Zhang, Chunxia Zhang, Jingtao Guo, Cheng Peng, Zhendong Niu, Xindong Wu. "Graph attention network with dynamic representation of relations for knowledge graph completion". Expert Systems With Applications 2023. paper

• (EARR) Jin Li, Jinpeng Xiang, Jianhua Cheng. "EARR: Using rules to enhance the embedding of knowledge graph". Expert Systems With Applications 2023. paper

• (GS-InGAT) Hong Yin, Jiang Zhong, Chen Wang, Rongzhen Li, Xue Li. "GS-InGAT: An interaction graph attention network with global semantic for knowledge graph completion". Expert Systems With Applications 2023. paper

• (MRAN) Zengcan Xue, Zhaoli Zhang, Hai Liu, Shuoqiu Yang, Shuyun Han. "Learning knowledge graph embedding with multi-granularity relational augmentation network". Expert Systems With Applications 2023. paper code

• (TPRG) Luyi Bai, Mingzhuo Chen, Lin Zhu, Xiangxi Meng. "Multi-hop temporal knowledge graph reasoning with temporal path rules guidance". Expert Systems With Applications 2023. paper code

• (TAL-TKGC) Haojie Nie, Xiangguo Zhao, Xin Yao, Qingling Jiang, Xin Bi, Yuliang Ma, Yongjiao Sun. "Temporal-structural importance weighted graph convolutional network for temporal knowledge graph completion". Future Generation Computer Systems 2023. paper

• (FedCKE) Wei Huang, Jia Liu, Tianrui Li, Shenggong Ji, Dexian Wang, Tianqiang Huang. "FedCKE: Cross-Domain Knowledge Graph Embedding in Federated Learning". IEEE Transactions on Big Data 2023. paper

• (FRKGE) Xiaowen Zhang, Zong-Min Ma. "Fuzzy RDF Knowledge Graph Embeddings Through Vector Space Model". IEEE Transactions on Fuzzy Systems 2023. paper

• (FTL-LM) Qika Lin, Rui Mao, Jun Liu, Fangzhi Xu, Erik Cambria. "Fusing topology contexts and logical rules in language models for knowledge graph completion". Information Fusion 2023. paper

• (ConvHLE) Jingxiong Wang, Qi Zhang, Fobo Shi, Duantengchuan Li, Yuefeng Cai, Jian Wang, Bing Li, Xiaoguang Wang, Zhen Zhang, Chao Zheng. "Knowledge graph embedding model with attention-based high-low level features interaction convolutional network". Information Processing and Management 2023. paper

• (SHGNet) Zhifei Li, Qi Zhang, Fangfang Zhu, Duantengchuan Li, Chao Zheng, Yan Zhang. "Knowledge graph representation learning with simplifying hierarchical feature propagation". Information Processing and Management 2023. paper

• (HyGGE) Yuzhuo Wang, Hongzhi Wang, Wenbo Lu, Yu Yan. "HyGGE: Hyperbolic graph attention network for reasoning over knowledge graphs". Information Sciences 2023. paper

• (KGZSL) Xuewei Li, Jinming Ma, Jian Yu, Mankun Zhao, Mei Yu, Hongwei Liu, Weiping Ding, Ruiguo Yu. "A structure-enhanced generative adversarial network for knowledge graph zero-shot relational learning". Information Sciences 2023. paper

• (TASTER) Xin Wang, Shengfei Lyu, Xiangyu Wang, Xingyu Wu, Huanhuan Chen. "Temporal knowledge graph embedding via sparse transfer matrix". Information Sciences 2023. paper code

• (T-GAE) Xiangning Hou, Ruizhe Ma, Li Yan, Zongmin Ma. "T-GAE: A Timespan-aware Graph Attention-based Embedding Model for Temporal Knowledge Graph Completion". Information Sciences 2023. paper

• (TLmod) Luyi Bai, Wenting Yu, Die Chai, Wenjun Zhao, Mingzhuo Chen. "Temporal knowledge graphs reasoning with iterative guidance by temporal logical rules". Information Sciences 2023. paper

• (CorIn) Mei Yu, Qianyu Zhang, Jian Yu, Mankun Zhao, Xuewei Li, Di Jin, Ming Yang, Ruiguo Yu. "Knowledge graph completion using topological correlation and multi-perspective independence". Knowledge-Based Systems 2023. paper

• (LoTus) Yudai Pan, Jun Liu, Lingling Zhang, Yi Huang. "Incorporating logic rules with textual representations for interpretable knowledge graph reasoning". Knowledge-Based Systems 2023. paper

• (RLAT) Luyi Bai, Die Chai, Lin Zhu. "RLAT: Multi-hop temporal knowledge graph reasoning based on Reinforcement Learning and Attention Mechanism". Knowledge-Based Systems 2023. paper

• (Rotate4D) Thanh Le, Huy Tran, Bac Le. "Knowledge graph embedding with the special orthogonal group in quaternion space for link prediction". Knowledge-Based Systems 2023. paper code

• (SAttLE) Peyman Baghershahi, Reshad Hosseini, Hadi Moradi. "Self-attention presents low-dimensional knowledge graph embeddings for link prediction". Knowledge-Based Systems 2023. paper code

• (GEnI) Elvira Amador-Domínguez, Emilio Serrano, Daniel Manrique. "GEnI: A framework for the generation of explanations and insights of knowledge graph embedding predictions". Neurocomputing 2023. paper

• (HGAT) Pengpeng Shao, Jiayi He, Guanjun Li, Dawei Zhang, Jianhua Tao. "Hierarchical graph attention network for temporal knowledge graph reasoning". Neurocomputing 2023. paper

• (PTKE) Ruinan Liu, Guisheng Yin, Zechao Liu, Liguo Zhang. "PTKE: Translation-based temporal knowledge graph embedding in polar coordinate system". Neurocomputing 2023. paper

• (JointSE) Xiao Wei, Yunong Zhang, Hao Wang. "Joint semantic embedding with structural knowledge and entity description for knowledge representation learning". Neural Computing and Applications 2023. paper

• (TFSC) Han Zhang, Luyi Bai. "Few-shot link prediction for temporal knowledge graphs based on time-aware translation and attention mechanism". Neural Networks 2023. paper

• (LCILP) Hebatallah A. Mohamed, Diego Pilutti, Stuart James, Alessio Del Bue, Marcello Pelillo, Sebastiano Vascon. "Locality-aware subgraphs for inductive link prediction in knowledge graphs". Pattern Recognition Letters 2023. paper code

• (McRL) Jiapu Wang, Boyue Wang, Junbin Gao, Yongli Hu, Baocai Yin. "Multi-Concept Representation Learning for Knowledge Graph Completion". ACM Transactions on Knowledge Discovery from Data 2023. paper

• (ABIE) Lijun Dong, Dongyang Zhao, Xiaoai Zhang, Xinchuan Li, Xiaojun Kang, Hong Yao. "Anchors-Based Incremental Embedding for Growing Knowledge Graphs". IEEE Transactions on Knowledge and Data Engineering 2023. paper

• (BDRI) Mei Yu, Jiujiang Guo, Jian Yu, Tianyi Xu, Mankun Zhao, Hongwei Liu, Xuewei Li, Ruiguo Yu. "BDRI: block decomposition based on relational interaction for knowledge graph completion". IEEE Transactions on Knowledge and Data Engineering 2023. paper

• (CMGNN) Quan Fang, Xiaowei Zhang, Jun Hu, Xian Wu, Changsheng Xu. "Contrastive Multi-Modal Knowledge Graph Representation Learning". IEEE Transactions on Knowledge and Data Engineering 2023. paper

• (CogKR) Zhengxiao Du, Chang Zhou, Jiangchao Yao, Teng Tu, Letian Cheng, Hongxia Yang, Jingren Zhou, Jie Tang. "CogKR: Cognitive Graph for Multi-Hop Knowledge Reasoning". IEEE Transactions on Knowledge and Data Engineering 2023. paper code

• (ConnectE-MRGAT) Yu Zhao, Han Zhou, Anxiang Zhang, Ruobing Xie, Qing Li, Fuzhen Zhuang. "Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing". IEEE Transactions on Knowledge and Data Engineering 2023. paper

• (DRGI) Shuang Liang, Jie Shao, Dongyang Zhang, Jiasheng Zhang, Bin Cui. "DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion". IEEE Transactions on Knowledge and Data Engineering 2023. paper

• (GeomE) Chengjin Xu, Mojtaba Nayyeri, Yung-Yu Chen, Jens Lehmann. "Geometric Algebra Based Embeddings for Static and Temporal Knowledge Graph Completion". IEEE Transactions on Knowledge and Data Engineering 2023. paper

• (JSSKGE) Weidong Li, Rong Peng, Zhi Li. "Knowledge Graph Completion by Jointly Learning Structural Features and Soft Logical Rules".IEEE Transactions on Knowledge and Data Engineering 2023. paper

• (MTRL) Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu. "Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement Learning". IEEE Transactions on Knowledge and Data Engineering 2023. paper

• (OERL) Qian Li, Daling Wang, Shi Feng, Kaisong Song, Yifei Zhang, Ge Yu. "OERL: Enhanced Representation Learning via Open Knowledge Graphs". IEEE Transactions on Knowledge and Data Engineering 2023. paper code

• (TDN) Jiapu Wang, Boyue Wang, Junbin Gao, Xiaoyan Li, Yongli Hu, Baocai Yin. "TDN: Triplet Distributor Network for Knowledge Graph Completion". IEEE Transactions on Knowledge and Data Engineering 2023. paper

• (HRGAT) Shuang Liang, Anjie Zhu, Jiasheng Zhang, Jie Shao. "Hyper-node Relational Graph Attention Network for Multi-modal Knowledge Graph Completion". ACM Transactions on Multimedia Computing, Communications, and Applications 2023. paper code

• (AutoBLM) Yongqi Zhang, Quanming Yao, James T. Kwok. "Bilinear Scoring Function Search for Knowledge Graph Learning". IEEE Transactions on Pattern Analysis and Machine Intelligence. paper code

• (DURA) Jie Wang, Zhanqiu Zhang, Zhihao Shi, Jianyu Cai, Shuiwang Ji, Feng Wu. "Duality-Induced Regularizer for Semantic Matching Knowledge Graph Embeddings". IEEE Transactions on Pattern Analysis and Machine Intelligence. paper

• (LogicENN) Mojtaba Nayyeri, Chengjin Xu, Mirza Mohtashim Alam, Jens Lehmann, Hamed Shariat Yazdi. "LogicENN: A Neural Based Knowledge Graphs Embedding Model With Logical Rules". IEEE Transactions on Pattern Analysis and Machine Intelligence. paper

• (AnKGE) Zhen Yao, Wen Zhang, Mingyang Chen, Yufeng Huang, Yi Yang, Huajun Chen. "Analogical Inference Enhanced Knowledge Graph Embedding". AAAI 2023. paper code

• (CENET) Yi Xu, Junjie Ou, Hui Xu, Luoyi Fu. "Temporal Knowledge Graph Reasoning with Historical Contrastive Learning". AAAI 2023. paper code

• (LKGE) Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu. "Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs". AAAI 2023. paper code

• (CompoundE) Xiou Ge, Yun-Cheng Wang, Bin Wang, C.-C. Jay Kuo. "Compounding Geometric Operations for Knowledge Graph Completion". ACL 2023. paper code

• (GreenKGC) Yuncheng Wang, Xiou Ge, Bin Wang, C.-C. Jay Kuo. "GreenKGC: A Lightweight Knowledge Graph Completion Method". ACL 2023. paper code

• (L2TKG) Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, Liang Wang. "Learning Latent Relations for Temporal Knowledge Graph Reasoning". ACL 2023. paper

• (LMKBC) Blerta Veseli, Sneha Singhania, Simon Razniewski, Gerhard Weikum. "Evaluating Language Models for Knowledge Base Completion". ESWC 2023. paper

• (MMKGR) Shangfei Zheng, Weiqing Wang, Jianfeng Qu, Hongzhi Yin, Wei Chen, Lei Zhao. "MMKGR: Multi-hop Multi-modal Knowledge Graph Reasoning". ICDE 2023. paper

• (RMPI) Yuxia Geng, Jiaoyan Chen, Jeff Z. Pan, Mingyang Chen, Song Jiang, Wen Zhang, Huajun Chen. "Relational Message Passing for Fully Inductive Knowledge Graph Completion". ICDE 2023. paper code

• (ExpressivE) Aleksandar Pavlovic, Emanuel Sallinger. "ExpressivE: A Spatio-Functional Embedding For Knowledge Graph Completion". ICLR 2023. paper

• (HiRe) Han Wu, Jie Yin, Bala Rajaratnam, Jianyuan Guo. "Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion". ICLR 2023. paper

• (MarT) Ningyu Zhang, Lei Li, Xiang Chen, Xiaozhuan Liang, Shumin Deng, Huajun Chen. "Multimodal Analogical Reasoning over Knowledge Graphs". ICLR 2023. paper code

• (NCRL) Kewei Cheng, Nesreen K. Ahmed, Yizhou Sun. "Neural Compositional Rule Learning for Knowledge Graph Reasoning". ICLR 2023. paper code

• (InGram) Jaejun Lee, Chanyoung Chung, Joyce Jiyoung Whang. "InGram: Inductive Knowledge Graph Embedding via Relation Graphs". ICML 2023. paper code

• (AdaProp) Yongqi Zhang, Zhanke Zhou, Quanming Yao, Xiaowen Chu, Bo Han. "AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning". KDD 2023. paper code

• (ANet) Zhaocheng Zhu, Xinyu Yuan, Michael Galkin, Louis-Pascal A. C. Xhonneux, Ming Zhang, Maxime Gazeau, Jian Tang. "A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs". NeurIPS 2023. paper

• (DiffLogic) Shengyuan Chen, Yunfeng Cai, Huang Fang, Xiao Huang, Mingming Sun. "Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs". NeurIPS 2023. paper

• (DREAM) Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao. "DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning". SIGIR 2023. paper

• (NP-FKGC) Linhao Luo, Yuan-Fang Li, Gholamreza Haffari, Shirui Pan:. "Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion". SIGIR 2023. paper code

• (RPC) Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu. "Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning". SIGIR 2023. paper

• (FedLU) Xiangrong Zhu, Guangyao Li, Wei Hu. "Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning". WWW 2023. paper code

• (HGLS) Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, Liang Wang. "Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning". WWW 2023. paper code

• (KGCF) Heng Chang, Jie Cai, Jia Li. "Knowledge Graph Completion with Counterfactual Augmentation". WWW 2023. paper

• (KG-Mixup) Harry Shomer, Wei Jin, Wentao Wang, Jiliang Tang. "Toward Degree Bias in Embedding-Based Knowledge Graph Completion". WWW 2023. paper code

• (KRACL) Zhaoxuan Tan, Zilong Chen, Shangbin Feng, Qingyue Zhang, Qinghua Zheng, Jundong Li, Minnan Luo. "KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion". WWW 2023. paper code

• (SEPA) Cosimo Gregucci, Mojtaba Nayyeri, Daniel Hernández, Steffen Staab. "Link Prediction with Atention Applied on Multiple Knowledge Graph Embedding Models". WWW 2023. paper

• (CTKGC) Jianzhou Feng, Qikai Wei, Jinman Cui, Jing Chen. "Novel translation knowledge graph completion model based on 2D convolution". Applied Intelligence 2022. paper code

• (InterERP) Weidong Li, Rong Peng, Zhi Li. "Improving knowledge graph completion via increasing embedding interactions". Applied Intelligence 2022. paper

• (JGAN) Jin Huang, Tian Lu, Jia Zhu, Weihao Yu, Tinghua Zhang. "Multi-relational knowledge graph completion method with local information fusion". Applied Intelligence 2022. paper

• (MMKRL) Xinyu Lu, Lifang Wang, Zejun Jiang, Shichang He, Shizhong Liu. "MMKRL: A robust embedding approach for multi-modal knowledge graph representation learning". Applied Intelligence 2022. paper

• (RLPath) Ling Chen, Jun Cui, Xing Tang, Yuntao Qian, Yansheng Li, Yongjun Zhang. "RLPath: a knowledge graph link prediction method using reinforcement learning based attentive relation path searching and representation learning". Applied Intelligence 2022. paper

• (BTDG) Yujing Lai, Chuan Chen, Zibin Zheng, Yangqing Zhang. "Block term decomposition with distinct time granularities for temporal knowledge graph completion". Expert Systems with Applications 2022. paper

• (ComplexGCN) Adnan Zeb, Summaya Saif, Junde Chen, Anwar Ul Haq, Zhiguo Gong, Defu Zhang. "Complex graph convolutional network for link prediction in knowledge graphs". Expert Systems with Applications 2022. paper code

• (HRRL) Mandana Saebi, Steven Kreig, Chuxu Zhang, Meng Jiang, Tomasz Kajdanowicz, Nitesh V. Chawla. "Heterogeneous relational reasoning in knowledge graphs with reinforcement learning". Information Fusion 2022. paper

• (MKGRL-MS) Enqiang Wang, Qing Yu, Yelin Chen, Wushouer Slamu, Xukang Luo. "Multi-modal knowledge graphs representation learning via multi-headed self-attention". Information Fusion 2022. paper

• (RGTN) Zhiwen Xie, Runjie Zhu, Jin Liu, Guangyou Zhou, Jimmy Xiangji Huang. "An efficiency relation-specific graph transformation network for knowledge graph representation learning". Information Processing and Management 2022. paper

• (DA-GCN) Jiarui Zhang, Jian Huang, Jialong Gao, Runhai Han, Cong Zhou. "Knowledge graph embedding by logical-default attention graph convolution neural network for link prediction". Information Sciences 2022. paper

• (IKGE) Byungkook Oh, Seungmin Seo, Jimin Hwang, Dongho Lee, Kyong-Ho Lee. "Open-world knowledge graph completion for unseen entities and relations via attentive feature aggregation". Information Sciences 2022. paper

• (OPRL) Pouya Ghiasnezhad Omran, Kerry Taylor, Sergio José Rodríguez Méndez, Armin Haller. "Active knowledge graph completion". Information Sciences 2022. paper

• (CLGAT-KGC) LinYu Li, Xuan Zhang, YuBin Ma, Chen Gao, Jishu Wang, Yong Yu, Zihao Yuan, Qiuying Ma. "A knowledge graph completion model based on contrastive learning and relation enhancement method". Knowledge-Based Systems 2022. paper

• (DeepER) Adnan Zeb, Summaya Saif, Junde Chen, Defu Zhang. "Learning knowledge graph embeddings by deep relational roto-reflection". Knowledge-Based Systems 2022. paper code

• (DKGE) Tianxing Wu, Arijit Khan, Melvin Yong, Guilin Qi, Meng Wang. "Efficiently embedding dynamic knowledge graphs". Knowledge-Based Systems 2022. paper

• (EIGAT) Yu Zhao, Huali Feng, Han Zhou, Yanruo Yang, Xingyan Chen, Ruobing Xie, Fuzhen Zhuang, Qing Li. "EIGAT: Incorporating global information in local attention for knowledge representation learning". Knowledge-Based Systems 2022. paper code

• (EvoExplore) Jiasheng Zhang, Shuang Liang, Yongpan Sheng, Jie Shao. "Temporal knowledge graph representation learning with local and global evolutions". Knowledge-Based Systems 2022. paper code

• (FedEC) Mingyang Chen, Wen Zhang, Zonggang Yuan, Yantao Jia, Huajun Chen. "Federated knowledge graph completion via embedding-contrastive learning". Knowledge-Based Systems 2022. paper

• (HRL) Anjie Zhu, Deqiang Ouyang, Shuang Liang, Jie Shao. "Step by step: A hierarchical framework for multi-hop knowledge graph reasoning with reinforcement learning". Knowledge Based Systems 2022. paper

• (JointE) Zhehui Zhou, Can Wang, Yan Feng, Defang Chen. "JointE: Jointly utilizing 1D and 2D convolution for knowledge graph embedding". Knowledge Based Systems 2022. paper

• (MFAE) Dan Jiang, Ronggui Wang, Lixia Xue, Juan Yang. "Multiview feature augmented neural network for knowledge graph embedding". Knowledge-Based Systems 2022. paper

• (MRGAT) Zhifei Li, Yue Zhao, Yan Zhang, Zhaoli Zhang. "Multi-relational graph attention networks for knowledge graph completion". Knowledge-Based Systems 2022. paper

• (ReflectE) Qianjin Zhang, Ronggui Wang, Juan Yang, Lixia Xue. "Knowledge graph embedding by reflection transformation". Knowledge Based Systems 2022. paper

• (RF) Hao Liu, Shu-wang Zhou, Changfang Chen, Tianlei Gao, Jiyong Xu, Minglei Shu. "Dynamic knowledge graph reasoning based on deep reinforcement learning". Knowledge Based Systems 2022. paper

• (RLKGE) Lihan Chen, Sihang Jiang, Jingping Liu, Chao Wang, Sheng Zhang, Chenhao Xie, Jiaqing Liang, Yanghua Xiao, Rui Song. "Rule mining over knowledge graphs via reinforcement learning". Knowledge Based Systems 2022. paper

• (SNS) Md. Kamrul Islam, Sabeur Aridhi, Malika Smaïl-Tabbone. "Negative sampling and rule mining for explainable link prediction in knowledge graphs". Knowledge-Based Systems 2022. paper

• (TuckERT) Pengpeng Shao, Dawei Zhang, Guohua Yang, Jianhua Tao, Feihu Che, Tong Liu. "Tucker decomposition-based temporal knowledge graph completion". Knowledge Based Systems 2022. paper

• (DensE) Haonan Lu, Hailin Hu, Xiaodong Lin. "DensE: An enhanced non-commutative representation for knowledge graph embedding with adaptive semantic hierarchy". Neurocomputing 2022. paper

• (EC) Guanglin Niu, Bo Li, Yongfei Zhang, Yongpan Sheng, Chuan Shi, Jingyang Li, Shiliang Pu. "Joint semantics and data-driven path representation for knowledge graph reasoning". Neurocomputing 2022. paper

• (HSKGCN) Shuanglong Yao, Dechang Pi, Junfu Chen. "Knowledge embedding via hyperbolic skipped graph convolutional networks". Neurocomputing 2022. paper

• (StructurE) Qianjin Zhang, Ronggui Wang, Juan Yang, Lixia Xue. "Structural context-based knowledge graph embedding for link prediction". Neurocomputing 2022. paper

• (TransMKR) Bojing Hu, Yaqin Ye, Yingqiang Zhong, Jiao Pan, Maosheng Hu. "TransMKR: Translation-based knowledge graph enhanced multi-task point-of-interest recommendation". Neurocomputing 2022. paper

• (MRGAT) Guoquan Dai, Xizhao Wang, Xiaoying Zou, Chao Liu, Si Cen. "MRGAT: Multi-Relational Graph Attention Network for knowledge graph completion". Neural Networks 2022. paper

• (CORE) Xiou Ge, Yuncheng Wang, Bin Wang, C.-C. Jay Kuo. "CORE: A knowledge graph entity type prediction method via complex space regression and embedding". Pattern Recognition Letters 2022. paper

• (KGBoost) Yuncheng Wang, Xiou Ge, Bin Wang, C.-C. Jay Kuo. "KGBoost: A classification-based knowledge base completion method with negative sampling". Pattern Recognition Letters 2022. paper

• (2DULPNs) Hu-Chen Liu, Xue Luan, MengChu Zhou, Yun Xiong. "A New Linguistic Petri Net for Complex Knowledge Representation and Reasoning". IEEE Transactions on Knowledge and Data Engineering 2022. paper

• (KGE-SS) Xiaofei Zhou, Lingfeng Niu, Qiannan Zhu, Xingquan Zhu, Ping Liu, Jianlong Tan, Li Guo. "Knowledge Graph Embedding by Double Limit Scoring Loss". IEEE Transactions on Knowledge and Data Engineering 2022. paper

• (M-DCN) Zhaoli Zhang, Zhifei Li, Hai Liu, Neal N. Xiong. "Multi-Scale Dynamic Convolutional Network for Knowledge Graph Embedding". IEEE Transactions on Knowledge and Data Engineering 2022. paper code

• (GGAE) Qian Li, Daling Wang, Shi Feng, Cheng Niu, Yifei Zhang. "Global Graph Attention Embedding Network for Relation Prediction in Knowledge Graphs". IEEE Transactions on Neural Networks and Learning Systems 2022. paper code

• (HRAN) Zhifei Li, Hai Liu, Zhaoli Zhang, Tingting Liu, Neal N. Xiong. "Learning Knowledge Graph Embedding With Heterogeneous Relation Attention Networks". IEEE Transactions on Neural Networks and Learning Systems 2022. paper code

• (HeteHG-VAE) Haoyi Fan, Fengbin Zhang, Yuxuan Wei, Zuoyong Li, Changqing Zou, Yue Gao, Qionghai Dai. "Heterogeneous Hypergraph Variational Autoencoder for Link Prediction". IEEE Transactions on Pattern Analysis and Machine Intelligence 2022. paper code

• (PyKEEN) Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Mikhail Galkin, Sahand Sharifzadeh, Asja Fischer, Volker Tresp, Jens Lehmann. "Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework". IEEE Transactions on Pattern Analysis and Machine Intelligence 2022. paper code code

• (BoxTE) Johannes Messner, Ralph Abboud, Ismail Ilkan Ceylan. "Temporal Knowledge Graph Completion Using Box Embeddings". AAAI 2022. paper

• (CURL) Denghui Zhang, Zixuan Yuan, Hao Liu, Xiaodong Lin, Hui Xiong. "Learning to Walk with Dual Agents for Knowledge Graph Reasoning". AAAI 2022. paper code

• (GIE) Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang. "Geometry Interaction Knowledge Graph Embeddings". AAAI 2022. paper

• (SE-GNN) Ren Li, Yanan Cao, Qiannan Zhu, Guanqun Bi, Fang Fang, Yi Liu, Qian Li. "How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View". AAAI 2022. paper code

• (TempoQR) Costas Mavromatis, Prasanna Lakkur Subramanyam, Vassilis N. Ioannidis, Adesoji Adeshina, Phillip R. Howard, Tetiana Grinberg, Nagib Hakim, George Karypis. "TempoQR: Temporal Question Reasoning over Knowledge Graphs". AAAI 2022. paper code

• (TLogic) Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp. "TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs". AAAI 2022. paper code

• (CAKE) Guanglin Niu, Bo Li, Yongfei Zhang, Shiliang Pu. "CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion". ACL 2022. paper code

• (CEN) Zixuan Li, Saiping Guan, Xiaolong Jin, Weihua Peng, Yajuan Lyu, Yong Zhu, Long Bai, Wei Li, Jiafeng Guo, Xueqi Cheng. "Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning". ACL 2022. paper code

• (KGT5) Apoorv Saxena, Adrian Kochsiek, Rainer Gemulla. "Sequence-to-Sequence Knowledge Graph Completion and Question Answering". ACL 2022. paper code

• (RotateQVS) Kai Chen, Ye Wang, Yitong Li, Aiping Li. "RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion". ACL 2022. paper

• (SimKGC) Liang Wang, Wei Zhao, Zhuoyu Wei, Jingming Liu. "SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models". ACL 2022. paper code

• (SS-AGA) Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, Wei Wang. "Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment". ACL 2022. paper

• (DA-Net) Kangzheng Liu, Feng Zhao, Hongxu Chen, Yicong Li, Guandong Xu, Hai Jin. "DA-Net: Distributed Attention Network for Temporal Knowledge Graph Reasoning". CIKM 2022. paper

• (KG-S2S) Chen Chen, Yufei Wang, Bing Li, Kwok-Yan Lam. "Knowledge Is Flat: A Seq2Seq Generative Framework for Various Knowledge Graph Completion". COLING 2022. paper

• (LASS) Jianhao Shen, Chenguang Wang, Linyuan Gong, Dawn Song. "Joint Language Semantic and Structure Embedding for Knowledge Graph Completion". COLING 2022. paper

• (GammaE) Dong Yang, Peijun Qing, Yang Li, Haonan Lu, Xiaodong Lin. "GammaE: Gamma Embeddings for Logical Queries on Knowledge Graphs". EMNLP 2022. paper

• (GHT) Haohai Sun, Shangyi Geng, Jialun Zhong, Han Hu, Kun He. "Graph Hawkes Transformer for Extrapolated Reasoning on Temporal Knowledge Graphs". EMNLP 2022. paper

• (MoSE) Yu Zhao, Xiangrui Cai, Yike Wu, Haiwei Zhang, Ying Zhang, Guoqing Zhao, Ning Jiang. "MoSE: Modality Split and Ensemble for Multimodal Knowledge Graph Completion". EMNLP 2022. paper

• (MGNN) David Jaime Tena Cucala, Bernardo Cuenca Grau, Egor V. Kostylev, Boris Motik. "Explainable GNN-Based Models over Knowledge Graphs". ICLR 2022. paper

• (NodePiece) Mikhail Galkin, Etienne G. Denis, Jiapeng Wu, William L. Hamilton. "NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs". ICLR 2022. paper

• (HousE) Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang. "HousE: Knowledge Graph Embedding with Householder Parameterization". ICML 2022. paper code

• (NSloss) Hidetaka Kamigaito, Katsuhiko Hayashiu. "Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning". ICML 2022. paper

• (PUDA) Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang. "Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion". IJCAI 2022. paper code

• (SNRI) Xiaohan Xu, Peng Zhang, Yongquan He, Chengpeng Chao, Chaoyang Yan. "Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge Graphs". IJCAI 2022. paper

• (TEMP) Zhiwei Hu, Victor Gutiérrez-Basulto, Zhiliang Xiang, Xiaoli Li, Ru Li, Jeff Z. Pan. "Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs". IJCAI 2022. paper code code

• (TiRGN) Yujia Li, Shiliang Sun, Jing Zhao. "TiRGN: Time-Guided Recurrent Graph Network with Local-Global Historical Patterns for Temporal Knowledge Graph Reasoning". IJCAI 2022. paper code

• (BoxEL) Bo Xiong, Nico Potyka, Trung-Kien Tran, Mojtaba Nayyeri, Steffen Staab. "Faithful Embeddings for Eℒ++ Knowledge Bases". ISWC 2022. paper

• (RLogic) Kewei Cheng, Jiahao Liu, Wei Wang, Yizhou Sun. "RLogic: Recursive Logical Rule Learning from Knowledge Graphs". KDD 2022. paper

• (SMORE) Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Denny Zhou, Jure Leskovec, Dale Schuurmans. "SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs". KDD 2022. paper

• (UltraE) Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou, Steffen Staab. "Ultrahyperbolic Knowledge Graph Embeddings". KDD 2022. paper

• (MetaTKGR) Ruijie Wang, zheng li, Dachun Sun, Shengzhong Liu, Jinning Li, Bing Yin, Tarek Abdelzaher. "Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs". NeurIPS 2022. paper

• (OTKGE) Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang. "OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport". NeurIPS 2022. paper

• (ConGLR) Qika Lin, Jun Liu, Fangzhi Xu, Yudai Pan, Yifan Zhu, Lingling Zhang, Tianzhe Zhao. "Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction". SIGIR 2022. paper

• (MKGformer) Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen. "Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion". SIGIR 2022. paper code

• (MorsE) Mingyang Chen, Wen Zhang, Yushan Zhu, Hongting Zhou, Zonggang Yuan, Changliang Xu, Huajun Chen. "Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding". SIGIR 2022. paper code

• (Kelpie) Andrea Rossi, Donatella Firmani, Paolo Merialdo, Tommaso Teofili. "Explaining Link Prediction Systems based on Knowledge Graph Embeddings". SIGMOD 2022. paper

• (AttEt) Jianhuan Zhuo, Qiannan Zhu, Yinliang Yue, Yuhong Zhao, Weisi Han. "A Neighborhood-Attention Fine-grained Entity Typing for Knowledge Graph Completion". WSDM 2022. paper

• (DualDE) Yushan Zhu, Wen Zhang, Mingyang Chen, Hui Chen, Xu Cheng, Wei Zhang, Huajun Chen. "DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning". WSDM 2022. paper code

• (EvoKG) Namyong Park, Fuchen Liu, Purvanshi Mehta, Dana Cristofor, Christos Faloutsos, Yuxiao Dong. "EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs". WSDM 2022. paper code

• (NoGE) Dai Quoc Nguyen, Vinh Tong, Dinh Q. Phung, Dat Quoc Nguyen. "Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Prediction". WSDM 2022. paper code

• (GCN4KGC) Zhanqiu Zhang, Jie Wang, Jieping Ye, Feng Wu. "Rethinking Graph Convolutional Networks in Knowledge Graph Completion". WWW 2022. paper code

• (RED-GNN) Yongqi Zhang, Quanming Yao. "Knowledge Graph Reasoning with Relational Digraph". WWW 2022. paper code

• (TPath) Luyi Bai, Wenting Yu, Mingzhuo Chen, Xiangnan Ma. "Multi-hop reasoning over paths in temporal knowledge graphs using reinforcement learning". Applied Soft Computing 2021. paper

• (CAFE) Agustín Borrego, Daniel Ayala, Inma Hernández, Carlos R. Rivero, David Ruiz. "CAFE: Knowledge graph completion using neighborhood-aware features". Engineering Applications of Artificial Intelligence 2021". paper code

• (KGEL) Adnan Zeb, Anwar Ul Haq, Defu Zhang, Junde Chen, Zhiguo Gong. "KGEL: A novel end-to-end embedding learning framework for knowledge graph completion". Expert Systems with Applications 2021. paper

• (Caps-OWKG) Yuhan Wang, Weidong Xiao, Zhen Tan, Xiang Zhao. "Caps-OWKG: a capsule network model for open-world knowledge graph". International Journal of Machine Learning and Cybernetics 2021. paper

• (Rule-IC) Qika Lin, Jun Liu, Yudai Pan, Lingling Zhang, Xin Hu, Jie Ma. "Rule-enhanced iterative complementation for knowledge graph reasoning". Information Sciences 2021. paper

• (PyKEEN) Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Sahand Sharifzadeh, Volker Tresp, Jens Lehmann. "PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings". Journal of Machine Learning Research 2021. paper code

• (Pykg2vec) Shih-Yuan Yu, Sujit Rokka Chhetri, Arquimedes Canedo, Palash Goyal, Mohammad Abdullah Al Faruque. "Pykg2vec: A Python Library for Knowledge Graph Embedding". Journal of Machine Learning Research 2021. paper code

• (KMAE) Dan Jiang, Ronggui Wang, Juan Yang, Lixia Xue. "Kernel multi-attention neural network for knowledge graph embedding". Knowledge Based Systems 2021. paper

• (MöbiusE) Yao Chen, Jiangang Liu, Zhe Zhang, Shiping Wen, Wenjun Xiong. "MöbiusE: Knowledge Graph Embedding on Möbius Ring". Knowledge Based Systems 2021. paper

• (MRotatE) Xuqian Huang, Jiuyang Tang, Zhen Tan, Weixin Zeng, Ji Wang, Xiang Zhao. "Knowledge graph embedding by relational and entity rotation". Knowledge Based Systems 2021. paper code

• (RHGNN) Adnan Zeb, Anwar Ul Haq, Junde Chen, Zhenfeng Lei, Defu Zhang. "Learning hyperbolic attention-based embeddings for link prediction in knowledge graphs". Knowledge Based Systems 2021. paper

• (TimE) Qianjin Zhang, Ronggui Wang, Juan Yang, Lixia Xue. "Knowledge graph embedding by translating in time domain space for link prediction". Knowledge Based Systems 2021. paper

• (Deep-IDA) Qi Wang, Yongsheng Hao, Feng Chen. "Deepening the IDA algorithm for knowledge graph reasoning through neural network architecture". Neurocomputing 2021. paper

• (GAKGE) Chen Li, Xutan Peng, Yuhang Niu, Shanghang Zhang, Hao Peng, Chuan Zhou, Jianxin Li. "Learning graph attention-aware knowledge graph embedding". Neurocomputing 2021. paper

• (HA-RotatE) Shensi Wang, Kun Fu, Xian Sun, Zequn Zhang, Shuchao Li, Li Jin. "Hierarchical-aware relation rotational knowledge graph embedding for link prediction". Neurocomputing 2021. paper

• (IE-RCN) Zhifei Li, Hai Liu, Zhaoli Zhang, Tingting Liu, Jiangbo Shu. "Recalibration convolutional networks for learning interaction knowledge graph embedding". Neurocomputing 2021. paper code

• (KRC) Mingda Li, Zhengya Sun, Siheng Zhang, Wensheng Zhang. "Enhancing knowledge graph embedding with relational constraints". Neurocomputing 2021. paper

• (MemoryPath) Shuangyin Li, Heng Wang, Rong Pan, Mingzhi Mao. "MemoryPath: A deep reinforcement learning framework for incorporating memory component into knowledge graph reasoning". Neurocomputing 2021. paper

• (Trans4E) Mojtaba Nayyeri, Gökce Müge Cil, Sahar Vahdati, Francesco Osborne, Mahfuzur Rahman, Simone Angioni, Angelo A. Salatino, Diego Reforgiato Recupero, Nadezhda Vassilyeva, Enrico Motta, Jens Lehmann. "Trans4E: Link prediction on scholarly knowledge graphs". Neurocomputing 2021. paper

• (DMACM) Jin Huang, Tinghua Zhang, Jia Zhu, Weihao Yu, Yong Tang, Yang He. "A deep embedding model for knowledge graph completion based on attention mechanism". Neural Computing and Applications 2021. paper

• (DAPath) Prayag Tiwari, Hongyin Zhu, Hari Mohan Pandey. "DAPath: Distance-aware knowledge graph reasoning based on deep reinforcement learning". Neural Networks 2021. paper

• (HiAM) Ting Ma, Shangwen Lv, Longtao Huang, Songlin Hu. "HiAM: A Hierarchical Attention based Model for knowledge graph multi-hop reasoning". Neural Networks 2021. paper

• (C-RNN) Qiannan Zhu, Xiaofei Zhou, Jianlong Tan, Li Guo. "Knowledge Base Reasoning with Convolutional-Based Recurrent Neural Networks". IEEE Transactions on Knowledge and Data Engineering 2021. paper

• (KSR) Han Xiao, Yidong Chen, Xiaodong Shi. "Knowledge Graph Embedding Based on Multi-View Clustering Framework". IEEE Transactions on Knowledge and Data Engineering 2021. paper

• (RLvLR) Pouya Ghiasnezhad Omran, Kewen Wang, Zhe Wang. "An Embedding-Based Approach to Rule Learning in Knowledge Graphs". IEEE Transactions on Knowledge and Data Engineering 2021. paper

• (TAPR) Ying Shen, Ning Ding, Hai-Tao Zheng, Yaliang Li, Min Yang. "Modeling Relation Paths for Knowledge Graph Completion". IEEE Transactions on Knowledge and Data Engineering 2021. paper

• (5E) Mojtaba Nayyeri, Sahar Vahdati, Can Aykul, Jens Lehmann. "5 Knowledge Graph Embeddings with Projective Transformations". AAAI 2021. paper

• (ChronoR) Ali Sadeghian, Mohammadreza Armandpour, Anthony Colas, Daisy Zhe Wang. "ChronoR: Rotation Based Temporal Knowledge Graph Embedding". AAAI 2021. paper

• (CyGNet) Cunchao Zhu, Muhao Chen, Changjun Fan, Guangquan Cheng, Yan Zhang. "Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks". AAAI 2021. paper code

• (DualE) Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang. "Dual Quaternion Knowledge Graph Embeddings". AAAI 2021. paper code

• (GaussianPath) Guojia Wan, Bo Du. "GaussianPath: A Bayesian Multi-Hop Reasoning Framework for Knowledge Graph Reasoning". AAAI 2021. paper

• (TACT) Jiajun Chen, Huarui He, Feng Wu, Jie Wang. "Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs". AAAI 2021. paper code

• (TaRP) Zijun Cui, Pavan Kapanipathi, Kartik Talamadupula, Tian Gao, Qiang Ji. "Type-augmented Relation Prediction in Knowledge Graphs". AAAI 2021. paper

• (CluSTeR) Zixuan Li, Xiaolong Jin, Saiping Guan, Wei Li, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng. "Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs". ACL/IJCNLP 2021. paper

• (PairRE) Linlin Chao, Jianshan He, Taifeng Wang, Wei Chu. "PairRE: Knowledge Graph Embeddings via Paired Relation Vectors". ACL/IJCNLP 2021. paper code

• (DisenKGAT) Junkang Wu, Wentao Shi, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Fuzheng Zhang, Wei Wu, Xiangnan He. "DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network". CIKM 2021. paper code

• (FKGE) Hao Peng, Haoran Li, Yangqiu Song, Vincent W. Zheng, Jianxin Li. "Differentially Private Federated Knowledge Graphs Embedding". CIKM 2021. paper code

• (REFORM) Song Wang, Xiao Huang, Chen Chen, Liang Wu, Jundong Li. "REFORM: Error-Aware Few-Shot Knowledge Graph Completion". CIKM 2021. paper

• (BiQUE) Jia Guo, Stanley Kok. "BiQUE: Biquaternionic Embeddings of Knowledge Graphs". EMNLP 2021. paper code

• (HittER) Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji. "HittER: Hierarchical Transformers for Knowledge Graph Embeddings". EMNLP 2021. paper code

• (TANGO) Zhen Han, Zifeng Ding, Yunpu Ma, Yujia Gu, Volker Tresp. "Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs". EMNLP 2021. paper

• (TITer) Haohai Sun, Jialun Zhong, Yunpu Ma, Zhen Han, Kun He. "TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting". EMNLP 2021. paper code

• (UniKER) Kewei Cheng, Ziqing Yang, Ming Zhang, Yizhou Sun. "UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference". EMNLP 2021. paper code

• (ConEx) Caglar Demir, Axel-Cyrille Ngonga Ngomo. "Convolutional Complex Knowledge Graph Embeddings". ESWC 2021. paper code code

• (Semantic) Nitisha Jain, Jan-Christoph Kalo, Wolf-Tilo Balke, Ralf Krestel. "Do Embeddings Actually Capture Knowledge Graph Semantics?". ESWC 2021. paper code

• (TransROWL) Claudia d'Amato, Nicola Flavio Quatraro, Nicola Fanizzi. "Injecting Background Knowledge into Embedding Models for Predictive Tasks on Knowledge Graphs". ESWC 2021. paper

• (RNNLogic) Meng Qu, Junkun Chen, Louis-Pascal A Xhonneux, Yoshua Bengio, Jian Tang. "RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs". ICLR 2021. paper code

• (xERTE) Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp. "Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs". ICLR 2021. paper code

• (HIPNet) Yongquan He, Peng Zhang, Luchen Liu, Qi Liang, Wenyuan Zhang, Chuang Zhang, "HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph". IJCAI 2021. paper code

• (PathCon) Hongwei Wang, Hongyu Ren, Jure Leskovec. "Relational Message Passing for Knowledge Graph Completion". KDD 2021. paper

• (T-GAP) Jaehun Jung, Jinhong Jung, U. Kang. "Learning to Walk across Time for Interpretable Temporal Knowledge Graph Completion". KDD 2021. paper code

• (BEUrRE) Xuelu Chen, Michael Boratko, Muhao Chen, Shib Sankar Dasgupta, Xiang Lorraine Li, Andrew McCallum. "Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning". NAACL-HLT 2021. paper code

• (EDGE) Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li. "Edge: Enriching Knowledge Graph Embeddings with External Text". NAACL-HLT 2021. paper

• (TeLM) Chengjin Xu, Yung-Yu Chen, Mojtaba Nayyeri, Jens Lehmann. "Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings". NAACL-HLT 2021. paper code

• (ConE) Zhanqiu Zhang, Jie Wang, Jiajun Chen, Shuiwang Ji, Feng Wu. "ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs". NeurIPS 2021. paper code

• (NBFNet) Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal A. C. Xhonneux, Jian Tang. "Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction". NeurIPS 2021. paper

• (GANA) Guanglin Niu, Yang Li, Chengguang Tang, Ruiying Geng, Jian Dai, Qiao Liu, Hao Wang, Jian Sun, Fei Huang, Luo Si. "Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion". SIGIR 2021. paper code

• (MetaP) Zhiyi Jiang, Jianliang Gao, Xinqi Lv. "MetaP: Meta Pattern Learning for One-Shot Knowledge Graph Completion". SIGIR 2021. paper code

• (RE-GCN) Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang, Xueqi Cheng. "Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning". SIGIR 2021. paper code

• (DBKGE) Siyuan Liao, Shangsong Liang, Zaiqiao Meng, Qiang Zhang. "Learning Dynamic Embeddings for Temporal Knowledge Graphs". WSDM 2021. paper

• (KE-GCN) Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu. "Knowledge Embedding Based Graph Convolutional Network". WWW 2021. paper code

• (M2GNN) Shen Wang, Xiaokai Wei, Cicero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu, Isabel F. Cruz. "Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion". WWW 2021. paper

• (MulDE) Kai Wang, Yu Liu, Qian Ma, Quan Z. Sheng. "MulDE: Multi-teacher Knowledge Distillation for Low-dimensional Knowledge Graph Embeddings". WWW 2021. paper

• (NS-KGE) Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen, Yongfeng Zhang. "Efficient Non-Sampling Knowledge Graph Embedding". WWW 2021. paper code

• (RAW) Yu Liu, Quanming Yao, Yong Li. "Role-Aware Modeling for N-ary Relational Knowledge Bases". WWW 2021. paper code

• (StAR) Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Ying Wang, Yi Chang. "Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion". WWW 2021. paper code

• Batselem Jagvaral, Wan-Kon Lee, Jae-Seung Roh, Min-Sung Kim, Young-Tack Park. "Path-based reasoning approach for knowledge graph completion using CNN-BiLSTM with attention mechanism". Expert Systems with Applications 2020. paper

• (FGEM) Richong Zhang, Yongyi Mao, Weihua Zhao. "Knowledge graphs completion via probabilistic reasoning". Information Sciences 2020. paper

• (MAKR) Yongming Han, GuoFei Chen, Zhongkun Li, Zhiqiang Geng, Fang Li, Bo Ma. "An asymmetric knowledge representation learning in manifold space". Information Sciences 2020. paper

• (ADRL) Qi Wang, Yongsheng Hao, Jie Cao. "ADRL: An attention-based deep reinforcement learning framework for knowledge graph reasoning". Knowledge Based Systems 2020. paper

• (GRL) Qi Wang, Yuede Ji, Yongsheng Hao, Jie Cao. "GRL: Knowledge graph completion with GAN-based reinforcement learning". Knowledge Based Systems 2020. paper

• (WDGAN) Yuanfei Dai, Shiping Wang, Xing Chen, Chaoyang Xu, Wenzhong Guo. "Generative adversarial networks based on Wasserstein distance for knowledge graph embeddings". Knowledge Based Systems 2020. paper

• (ALSTM) Qi Wang , Yongsheng Hao. "ALSTM: An attention-based long short-term memory framework for knowledge base reasoning". Neurocomputing 2020. paper

• (KGLG) Takuma Ebisu, Ryutaro Ichise. "Generalized Translation-Based Embedding of Knowledge Graph". IEEE Transactions on Knowledge and Data Engineering 2020. paper

• (CoPER) George Stoica, Otilia Stretcu, Anthony Platanios, Tom Mitchell, Barnabas Poczos. "Contextual Parameter Generation for Knowledge Graph Link Prediction". AAAI 2020. paper code

• (DE-SimplE) Rishab Goel, Seyed Mehran Kazemi, Marcus Brubaker, Pascal Poupart. "Diachronic Embedding for Temporal Knowledge Graph Completion". AAAI 2020. paper code

• (EvolveGCN) Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Tao B. Schardl, Charles E. Leiserson. "EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs". AAAI 2020. paper

• (FSRL) Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla. "Few-Shot Knowledge Graph Completion". AAAI 2020. paper code

• (GNTPs) Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel, Edward Grefenstette. "Differentiable Reasoning on Large Knowledge Bases and Natural Language". AAAI 2020. paper

• (HAKE) Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang. "Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction". AAAI 2020. paper code

• (InteractE) Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal, Partha Talukdar. "InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions". AAAI 2020. paper code supp

• (ParamE) Feihu Che, Dawei Zhang, Jianhua Tao, Mingyue Niu, Bocheng Zhao. "ParamE: Regarding Neural Network Parameters as Relation Embeddings for Knowledge Graph Completion". AAAI 2020. paper

• (R2D2) Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp. "Reasoning on Knowledge Graphs with Debate Dynamics". AAAI 2020. paper code

• (RGHAT) Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhiping Shi, Hui Xiong, Qing He. "Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion". AAAI 2020. paper

• (RPJE) Guanglin Niu, Yongfei Zhang, Bo Li, Peng Cui, Si Liu, Jingyang Li, Xiaowei Zhang. "Rule-Guided Compositional Representation Learning on Knowledge Graphs". AAAI 2020. paper code

• (SimE) Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi. "Commonsense Knowledge Base Completion with Structural and Semantic Context". AAAI 2020. paper

• (ZSGAN) Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang. "Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs". AAAI 2020. paper code

• (ATTH) Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi and Christopher Ré. "Low-Dimensional Hyperbolic Knowledge Graph Embeddings". ACL 2020. paper code

• (ConnectE) Yu Zhao, anxiang zhang, Ruobing Xie, Kang Liu and Xiaojie WANG. "Connecting Embeddings for Knowledge Graph Entity Typing". ACL 2020. paper code

• (NeuInfer) Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng. "NeuInfer: Knowledge Inference on N-ary Facts". ACL 2020. paper

• (OTE) Yun Tang, Jing Huang, Guangtao Wang, Xiaodong He, Bowen Zhou. "Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding". ACL 2020. paper code

• (Re-evaluation) Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal, Partha Talukdar and Yiming Yang. "A Re-evaluation of Knowledge Graph Completion Methods". ACL 2020. paper code

• (ReInceptionE) Zhiwen Xie, Guangyou Zhou, Jin Liu and Jimmy Xiangji Huang. "ReInceptionE: Relation-Aware Inception Network with Joint Local-Global Structural Information for Knowledge Graph Embedding". ACL 2020. paper code

• (Rotate3D) Chang Gao, Chengjie Sun, Lili Shan, Lei Lin, Mingjiang Wang. "Rotate3D: Representing Relations as Rotations in Three-Dimensional Space for Knowledge Graph Embedding". CIKM 2020. paper code

• (KG-BERT) Bosung Kim, Taesuk Hong, Youngjoong Ko, Jungyun Seo. "Multi-Task Learning for Knowledge Graph Completion with Pre-trained Language Models". COLING 2020. paper

• (TeRo) Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, Jens Lehmann. "TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation". COLING 2020. paper code

• (CoDEx) Tara Safavi, Danai Koutra. "CoDEx: A Comprehensive Knowledge Graph Completion Benchmark". EMNLP 2020. paper

• (DacKGR) Xin Lv, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Wei Zhang, Yichi Zhang, Hao Kong, Suhui Wu. "Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph". EMNLP 2020. paper code

• (DebiasE) Joseph Fisher, Arpit Mittal, Dave Palfrey, Christos Christodoulopoulos. "Debiasing knowledge graph embeddings". EMNLP 2020. paper

• (DyERNIE) Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp. "DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion". EMNLP 2020. paper

• (FAAN) Jiawei Sheng, Shu Guo, Zhenyu Chen, Juwei Yue, Lihong Wang, Tingwen Liu, Hongbo Xu. "Adaptive Attentional Network for Few-Shot Knowledge Graph Completion". EMNLP 2020. paper code

• (HyperKA) Zequn Sun, Muhao Chen, Wei Hu, Chengming Wang, Jian Dai, Wei Zhang. "Knowledge Association with Hyperbolic Knowledge Graph Embeddings". EMNLP 2020. paper code

• (RE-NET) Woojeong Jin, Meng Qu, Xisen Jin, Xiang Ren. "Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs". EMNLP 2020. paper code

• (RuleGuider) Deren Lei, Gangrong Jiang, Xiaotao Gu, Kexuan Sun, Yuning Mao, Xiang Ren. "Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning". EMNLP 2020. paper

• (SANS) Kian Ahrabian, Aarash Feizi, Yasmin Salehi, William L. Hamilton, Avishek Joey Bose. "Structure Aware Negative Sampling in Knowledge Graphs". EMNLP 2020. paper

• (STARE) Mikhail Galkin, Priyansh Trivedi, Gaurav Maheshwari, Ricardo Usbeck, Jens Lehmann. "Message Passing for Hyper-Relational Knowledge Graphs". EMNLP 2020. paper

• (TeMP) Jiapeng Wu, Meng Cao, Jackie Chi Kit Cheung, William L. Hamilton. "TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion". EMNLP 2020. paper code

• (TIMEPLEX) Prachi Jain, Sushant Rathi, Mausam, Soumen Chakrabarti. "Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols". EMNLP 2020. paper code

• (YAGO4) Thomas Pellissier Tanon, Gerhard Weikum, Fabian M. Suchanek. "YAGO 4: A Reason-able Knowledge Base". ESWC 2020. paper code

• (AutoSF) Yongqi Zhang, Quanming Yao, Wenyuan Dai, Lei Chen. "AutoSF: Searching Scoring Functions for Knowledge Graph Embedding". ICDE 2020. paper code

• (Calibration) Pedro Tabacof, Luca Costabello. "Probability Calibration for Knowledge Graph Embedding Models". ICLR 2020. paper

• (CompGCN) Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Partha Talukdar. "Composition-based Multi-Relational Graph Convolutional Networks". ICLR 2020. paper code

• (DPMPN) Xiaoran Xu, Wei Feng, Yunsheng Jiang, Xiaohui Xie, Zhiqing Sun, Zhi-Hong Deng. "Dynamically Pruned Message Passing Networks for Large-scale Knowledge Graph Reasoning". ICLR 2020. paper code

• (DrKIT) Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen. "Differentiable Reasoning over a Virtual Knowledge Base". ICLR 2020. paper code

• (Neural-LP-N) Po-Wei Wang, Daria Stepanova, Csaba Domokos, J. Zico Kolter. "Differentiable learning of numerical rules in knowledge graphs". ICLR 2020. paper

• (ReifKB) William W. Cohen, Haitian Sun, R. Alex Hofer, Matthew Siegler. "Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base". ICLR 2020. paper

• (TComplEx) Timothée Lacroix, Guillaume Obozinski, Nicolas Usunier. "Tensor Decompositions for Temporal Knowledge Base Completion". ICLR 2020. paper code

• (Teach) Daniel Ruffinelli, Samuel Broscheit, Rainer Gemulla. "You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings". ICLR 2020. paper code

• (GraIL) Komal K. Teru, Etienne Denis, Will Hamilton. "Inductive Relation Prediction by Subgraph Reasoning". ICML 2020. paper

• (LowFER) Saadullah Amin, Stalin Varanasi, Katherine Ann Dunfield, Günter Neumann. "LowFER: Low-rank Bilinear Pooling for Link Prediction". ICML 2020. paper code

• (HypE) Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole. "Knowledge Hypergraphs: Prediction Beyond Binary Relations". IJCAI 2020. paper code

• (RLH) Guojia Wan, Shirui Pan, Chen Gong, Chuan Zhou, Gholamreza Haffari. "Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning". IJCAI 2020. paper

• (TransRHS) Fuxiang Zhang, Xin Wang, Zhao Li, Jianxin Li. "TransRHS: A Representation Learning Method for Knowledge Graphs with Relation Hierarchical Structure". IJCAI 2020. paper code

• (ATiSE) Chenjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, Jens Lehmann. "Temporal Knowledge Graph Completion Based on Time Series Gaussian Embedding". ISWC 2020. paper code

• (IELP) Rajarshi Bhowmik, Gerard de Melo. "Explainable Link Prediction for Emerging Entities in Knowledge Graphs". ISWC 2020. paper code

• (BoxE) Ralph Abboud, Ismail Ilkan Ceylan, Thomas Lukasiewicz, Tommaso Salvatori. "BoxE: A Box Embedding Model for Knowledge Base Completion". NeurIPS 2020. paper

• (DURA) Zhanqiu Zhang, Jianyu Cai, Jie Wang. "Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion". NeurIPS 2020. paper code

• (GEN) Jinheon Baek, Dong Bok Lee, Sung Ju Hwang. "Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction". NeurIPS 2020. paper code

• (DGL-KE) Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Zihao Ye, Jin Dong, Hao Xiong, Zheng Zhang, George Karypis. "DGL-KE: Training Knowledge Graph Embeddings at Scale". SIGIR 2020. paper code

• (FMRR) Farahnaz Akrami, Mohammed Samiul Saeef, Qingheng Zhang, Wei Hu, Chengkai Li. "Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study". SIGMOD 2020. paper

• (GETD) Yu Liu, Quanming Yao, Yong Li. "Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases". WWW 2020. paper code

• (HINGE) Paolo Rosso, Dingqi Yang, Philippe Cudré-Mauroux. "Beyond Triplets: Hyper-Relational Knowledge Graph Embedding for Link Prediction". WWW 2020. paper code

• (TDGNN) Liang Qu, Huaisheng Zhu, Qiqi Duan, Yuhui Shi. "Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network". WWW 2020. paper code

• (UPGAN) Gaole He, Junyi Li, Wayne Xin Zhao, Peiju Liu, Ji-Rong Wen. "Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning". WWW 2020. paper

• (wRAN) Ningyu Zhang, Shumin Deng, Zhanlin Sun, Jiaoyan Chen, Wei Zhang, Huajun Chen. "Relation Adversarial Network for Low Resource Knowledge Graph Completion". WWW 2020. paper

• (TKGE) Binling Nie, Shouqian Sun. "Knowledge graph embedding via reasoning over entities, relations, and text". Future Generation Computer Systems 2019. paper

• (MKRL) Xing Tang, Ling Chen, Jun Cui, Baogang Wei. "Knowledge representation learning with entity descriptions, hierarchical types, and textual relations". Information Processing and Management 2019. paper

• (KEC) Niannian Guan, Dandan Song, Lejian Liao. "Knowledge graph embedding with concepts". Knowledge-based Systems 2019. paper

• (RPE) Xixun Lin, Yanchun Liang, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan. "Relation path embedding in knowledge graphs". Neural Computing and Applications 2019. paper

• (LAN) PeiFeng Wang, Jialong Han, Chenliang Li, Rong Pan. "Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding". AAAI 2019. paper code

• (OWE) Haseeb Shah, Johannes Villmow, Adrian Ulges, Ulrich Schwanecke, Faisal Shafait. "An Open-World Extension to Knowledge Graph Completion Models". AAAI 2019. paper code

• (SACN) Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou. "End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion". AAAI 2019. paper code

• (UKGE) Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo. "Embedding Uncertain Knowledge Graphs". AAAI 2019. paper code

• (A2N) Trapit Bansal, Da-Cheng Juan, Sujith Ravi, Andrew McCallum. "A2N: Attending to Neighbors for Knowledge Graph Inference". ACL 2019. paper

• (DihEdral) Canran Xu, Ruijiang Li. "Relation Embedding with Dihedral Group in Knowledge Graph". ACL 2019. paper

• (KBGAT) Deepak Nathani, Jatin Chauhan, Charu Sharma, Manohar Kaul. "Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs". ACL 2019. paper code

• (AttnPath) Heng Wang, Shuangyin Li, Rong Pan, Mingzhi Mao. "Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning". EMNLP/IJCNLP 2019. paper

• (CPL) Cong Fu, Tong Chen, Meng Qu, Woojeong Jin, Xiang Ren. "Collaborative Policy Learning for Open Knowledge Graph Reasoning". EMNLP/IJCNLP 2019. paper

• (Meta-KGR) Xin Lv, Yuxian Gu, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu. "Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations". EMNLP/IJCNLP 2019. paper

• (MetaR) Mingyang Chen, Wen Zhang, Wei Zhang, Qiang Chen and Huajun Chen. "Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs". EMNLP/IJCNLP 2019. paper code

• (TuckER) Ivana Balazevic, Carl Allen, Timothy M. Hospedales. "TuckER: Tensor Factorization for Knowledge Graph Completion". EMNLP/IJCNLP 2019. paper code

• (MMKG) Ye Liu, Hui Li, Alberto García-Durán, Mathias Niepert, Daniel O?oro-Rubio, David S. Rosenblum. "MMKG: Multi-modal Knowledge Graphs". ESWC 2019. paper

• (NSCaching) Yongqi Zhang, Quanming Yao, Yingxia Shao, Lei Chen. "NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding". ICDE 2019. paper code

• (DyRep) Rakshit Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal, Hongyuan Zha. "DyRep: Learning Representations over Dynamic Graphs". ICLR 2019. paper

• (RotatE) Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, Jian Tang. "RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space". ICLR 2019. paper code

• (RSN) Lingbing Guo, Zequn Sun, Wei Hu. "Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs". ICML 2019. paper code

• (AnyBURL) Christian Meilicke, Melisachew Wudage Chekol, Daniel Ruffinelli, Heiner Stuckenschmidt. "Anytime Bottom-Up Rule Learning for Knowledge Graph Completion". IJCAI 2019. paper code

• (Attack) Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren. "Data Poisoning Attack against Knowledge Graph Embedding". IJCAI 2019. paper

• (TransMS) Shihui Yang, Jidong Tian, Honglun Zhang, Junchi Yan, Hao He, Yaohui Jin. "TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics". IJCAI 2019. paper

• (LiteralE) Agustinus Kristiadi, Mohammad Asif Khan, Denis Lukovnikov, Jens Lehmann, Asja Fischer. "Incorporating Literals into Knowledge Graph Embeddings". ISWC 2019. paper code

• (TransEdge) Zequn Sun, JiaCheng Huang, Wei Hu, Muhao Chen, Lingbing Guo, Yuzhong Qu. "TransEdge: Translating Relation-Contextualized Embeddings for Knowledge Graphs". ISWC 2019. paper

• (JOIE) Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, Wei Wang. "Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts". KDD 2019. paper code

• (CapsE) Dai Quoc Nguyen, Thanh Vu, Tu Dinh Nguyen, Dat Quoc Nguyen, Dinh Q. Phung. "A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization". NAACL-HLT 2019. paper code

• (ConvR) Xiaotian Jiang, Quan Wang, Bin Wang. "Adaptive Convolution for Multi-Relational Learning". NAACL-HLT 2019. paper

• (CRIAGE) Pouya Pezeshkpour, Yifan Tian, Sameer Singh. “Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications”. NAACL-HLT 2019. paper code

• (DRUM) Ali Sadeghian, Mohammadreza Armandpour, Patrick Ding, Daisy Zhe Wang. "DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs". NeurIPS 2019. paper code

• (MuRP) Ivana Balaževic, Carl Allen, Timothy Hospedales. "Multi-relational Poincaré Graph Embeddings". NeurIPS 2019. paper code

• (pLogicNet) Meng Qu, Jian Tang. "Probabilistic Logic Neural Networks for Reasoning". NeurIPS 2019. paper

• (QuatE) Shuai Zhangy, Yi Tay, Lina Yao, Qi Liu. "Quaternion Knowledge Graph Embeddings". NeurIPS 2019. paper code

• (CrossE) Wen Zhang, Bibek Paudel, Wei Zhang, Abraham Bernstein, Huajun Chen. "Interaction Embeddings for Prediction and Explanation in Knowledge Graphs". WSDM 2019. paper code

• (ActiveLink) Natalia Ostapuk, Jie Yang, Philippe Cudré-Mauroux. "ActiveLink: Deep Active Learning for Link Prediction in Knowledge Graphs". WWW 2019. paper code

• (IterE) Wen Zhang, Bibek Paudel, Liang Wang, Jiaoyan Chen, Hai Zhu, Wei Zhang, Abraham Bernstein, Huajun Chen. "Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning". WWW 2019. paper code

• (KTUP) Yixin Cao, Xiang Wang, Xiangnan He, Zikun Hu, Tat-Seng Chua. "Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences". WWW 2019. paper

• (NaLP) Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng. "Link Prediction on N-ary Relational Data". WWW 2019. paper code

• (PaSKoGE) Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng. "Path-specific knowledge graph embedding". Knowledge-based Systems 2018. paper

• (CKRL) Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin. "Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning With Confidence". AAAI 2018. paper code

• (ConMask) Baoxu Shi, Tim Weninger. "Open-World Knowledge Graph Completion". AAAI 2018. paper code

• (ConvE) Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel. "Convolutional 2D Knowledge Graph Embeddings". AAAI 2018. paper code

• (IGAN) Peifeng Wang, Shuangyin Li, Rong Pan. "Incorporating GAN for Negative Sampling in Knowledge Representation Learning". AAAI 2018. paper

• (JointNRE) Xu Han, Zhiyuan Liu, Maosong Sun. "Neural Knowledge Acquisition via Mutual Attention Between Knowledge Graph and Text". AAAI 2018. paper code

• Yanjie Wang, Rainer Gemulla, Hui Li. "On Multi-Relational Link Prediction with Bilinear Models". AAAI 2018. paper code

• (RUGE) Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo. "Knowledge Graph Embedding With Iterative Guidance From Soft Rules". AAAI 2018. paper code

• (TorusE) Takuma Ebisu, Ryutaro Ichise. "TorusE: Knowledge Graph Embedding on a Lie Group". AAAI 2018. paper code

• (ComplEx-NNE) Boyang Ding, Quan Wang, Bin Wang, Li Guo. "Improving Knowledge Graph Embedding Using Simple Constraints". ACL 2018. paper code

• (POE) Luke Vilnis, Xiang Li, Shikhar Murty, Andrew McCallum. "Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures". ACL 2018. paper

• (GMatching) Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang. "One-Shot Relational Learning for Knowledge Graphs". EMNLP 2018. paper code

• (HyTE) Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha Talukdar. "HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding". EMNLP 2018. paper code

• (MKBE) Pouya Pezeshkpour, Liyan Chen, Sameer Singh. "Embedding Multimodal Relational Data for Knowledge Base Completion". EMNLP 2018. paper code

• (MultiHopKG) Xi Victoria Lin, Richard Socher, Caiming Xiong. "Multi-Hop Knowledge Graph Reasoning with Reward Shaping". EMNLP 2018. paper code

• (TA-DistMult) Alberto Garcia-Duran, Sebastijan Dumančić, Mathias Niepert. "Learning Sequence Encoders for Temporal Knowledge Graph Completion". EMNLP 2018. paper dataset

• (TransC) Xin Lv, Lei Hou, Juanzi Li, Zhiyuan Liu. "Differentiating Concepts and Instances for Knowledge Graph Embedding". EMNLP 2018. paper code

• (TransE-HRS) Zhao Zhang, Fuzhen Zhuang, Meng Qu, Fen Lin, Qing He. "Knowledge Graph Embedding with Hierarchical Relation Structure". EMNLP 2018. paper

• (R-GCN) Michael Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling. "Modeling Relational Data with Graph Convolutional Networks". ESWC 2018. paper code

• (MINERVA) Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum. "Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning". ICLR 2018. paper code

• (ComplEx-N3) Timothée Lacroix, Nicolas Usunier, Guillaume Obozinski. "Canonical Tensor Decomposition for Knowledge Base Completion". ICML 2018. paper code

• (RLvLR) Pouya Ghiasnezhad Omran, Kewen Wang, Zhe Wang. "Scalable Rule Learning via Learning Representation". IJCAI 2018. paper

• (TransAt) Wei Qian, Cong Fu, Yu Zhu, Deng Cai, Xiaofei He. "Translating Embeddings for Knowledge Graph Completion with Relation Attention Mechanism". IJCAI 2018. paper code

• (RuleN) Christian Meilicke, Manuel Fink, Yanjie Wang, Daniel Ruffinelli, Rainer Gemulla, Heiner Stuckenschmidt. "Fine-Grained Evaluation of Rule- and Embedding-Based Systems for Knowledge Graph Completion". ISWC 2018. paper

• (OntologyE) Víctor Gutiérrez-Basulto, Steven Schockaert. "From Knowledge Graph Embedding to Ontology Embedding? An Analysis of the Compatibility between Vector Space Representations and Rules". KR 2018. paper

• (ATE) Bo An, Bo Chen, Xianpei Han, Le Sun. "Accurate Text-Enhanced Knowledge Graph Representation Learning". NAACL-HLT 2018. paper

• (ConvKB) Dai Quoc Nguyen, Tu Dinh Nguyen, Dat Quoc Nguyen, Dinh Phung. "A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network". NAACL-HLT 2018. paper code

• (KBGAN) Liwei Cai, William Yang Wang. "KBGAN: Adversarial Learning for Knowledge Graph Embeddings". NAACL-HLT 2018. paper code

• (SimplE) Seyed Mehran Kazemi, David Poole. "SimplE Embedding for Link Prediction in Knowledge Graphs". NeurIPS 2018. paper reviews code

• (M-Walk) Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao. "M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search". NeurIPS 2018. paper

• (KBLRN) Alberto García-Durán, Mathias Niepert. "KBlrn: End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features". UAI 2018. paper

• (RAE) Richong Zhang, Junpeng Li, Jiajie Mei, Yongyi Mao. "Scalable Instance Reconstruction in Knowledge Bases via Relatedness Affiliated Embedding". WWW 2018. paper

• (TTransE) Julien Leblay, Melisachew Wudage Chekol. "Deriving Validity Time in Knowledge Graph". WWW 2018. paper

• (LPMR) Caiyan Dai, Ling Chen, Bin Li, Yun Li. "Link prediction in multi-relational networks based on relational similarity". Information Sciences 2017. paper

• (ComplEx) Théo Trouillon, Christopher R. Dance, Éric Gaussier, Johannes Welbl, Sebastian Riedel, Guillaume Bouchard. "Knowledge Graph Completion via Complex Tensor Factorization". Journal of Machine Learning Research 2017. paper code

• (RLKB) Miao Fan, Qiang Zhou, Thomas Fang Zheng, Ralph Grishman. "Distributed representation learning for knowledge graphs with entity descriptions". Pattern Recognition Letters 2017. paper

• (SSE) Shu Guo, Quan Wang, Bin Wang, Lihong Wang, Li Guo. "SSE: Semantically Smooth Embedding for Knowledge Graphs". IEEE Transactions on Knowledge and Data Engineering 2017. paper

• (ProjE) Baoxu Shi, Tim Weninger. "ProjE: Embedding Projection for Knowledge Graph Completion". AAAI 2017. paper code

• (ITransF) Qizhe Xie, Xuezhe Ma, Zihang Dai, Eduard Hovy. "An Interpretable Knowledge Transfer Model for Knowledge Base Completion". ACL 2017. paper

• (ETE) Changsung Moon, Paul Jones, Nagiza F. Samatova. "Learning Entity Type Embeddings for Knowledge Graph Completion". CIKM 2017. paper

• (TransT) Shiheng Ma, Jianhui Ding, Weijia Jia, Kun Wang, Minyi Guo. "TransT: Type-Based Multiple Embedding Representations for Knowledge Graph Completion". ECML/PKDD 2017. paper

• (DeepPath) Wenhan Xiong, Thien Hoang, William Yang Wang. "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning". EMNLP 2017. paper

• (Sparsity) Jay Pujara, Eriq Augustine, Lise Getoor. "Sparsity and Noise: Where Knowledge Graph Embeddings Fall Short". EMNLP 2017. paper code

• (ANALOGY) Hanxiao Liu, Yuexin Wu, Yiming Yang. "Analogical Inference for Multi-relational Embeddings". ICML 2017. paper code

• (Know-Evolve) Rakshit Trivedi, Hanjun Dai, Yichen Wang, Le Song. "Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs". ICML 2017. paper

• (IKRL) Ruobing Xie, Zhiyuan Liu, Huanbo Luan, Maosong Sun. "Image-embodied Knowledge Representation Learning". IJCAI 2017. paper code

• (Jointly(A-LSTM)) Jiacheng Xu, Xipeng Qiu, Kan Chen, Xuanjing Huang. "Knowledge Graph Representation with Jointly Structural and Textual Encoding". IJCAI 2017. paper code

• (MEAN) Takuo Hamaguchi, Hidekazu Oiwa, Masashi Shimbo, Yuji Matsumoto. "Knowledge Transfer for Out-of-Knowledge-Base Entities : A Graph Neural Network Approach". IJCAI 2017. paper

• (Neural-LP) Fan Yang, Zhilin Yang, William W. Cohen. "Differentiable Learning of Logical Rules for Knowledge Base Reasoning". NeurIPS 2017. paper reviews code

• (NTPs) Tim Rocktäschel, Sebastian Riedel. "End-to-end Differentiable Proving". NeurIPS 2017. paper

• (ASR-ComplEx) Pasquale Minervini, Thomas Demeester, Tim Rocktäschel, Sebastian Riedel. "Adversarial Sets for Regularising Neural Link Predictors". UAI 2017. paper

• (ARIMA) Ismail Günes, Sule Gündüz Ögüdücü, Zehra Çataltepe. "Link prediction using time series of neighborhood-based node similarity scores". Data Mining and Knowledge Discovery 2016. paper

• (DKRL) Ruobing Xie, Zhiyuan Liu, Jia Jia, Huanbo Luan, Maosong Sun. "Representation Learning of Knowledge Graphs with Entity Descriptions". AAAI 2016. paper code

• (HolE) Maximilian Nickel, Lorenzo Rosasco, Tomaso Poggio. "Holographic Embeddings of Knowledge Graphs". AAAI 2016. paper code

• (TransA) Yantao Jia, Yuanzhuo Wang, Hailun Lin, Xiaolong Jin, Xueqi Cheng. "Locally Adaptive Translation for Knowledge Graph Embedding". AAAI 2016. paper

• (TranSparse) Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao. "Knowledge Graph Completion with Adaptive Sparse Transfer Matrix". AAAI 2016. paper

• (TransG) Han Xiao, Minlie Huang, Xiaoyan Zhu. "TransG: A Generative Model for Knowledge Graph Embedding". ACL 2016. paper code

• (GAKE) Jun Feng, Minlie Huang, Yang Yang, Xiaoyan Zhu. "GAKE: Graph Aware Knowledge Embedding". COLING 2016. paper code

• (TransE-TAE) Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Baobao Chang, Sujian Li, Zhifang Sui. "Towards Time-Aware Knowledge Graph Completion". COLING 2016. paper

• (KALE) Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo."Jointly Embedding Knowledge Graphs and Logical Rules". EMNLP 2016. paper code

• (t-TransE) Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui. "Encoding Temporal Information for Time-Aware Link Prediction". EMNLP 2016. paper

• (STransE) Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu, Mark Johnson. "STransE: A Novel Embedding Model of Entities and Relationships in Knowledge Bases". HLT-NAACL 2016. paper code

• (ComplEx) Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, Guillaume Bouchard. "Complex Embeddings for Simple Link Prediction". ICML 2016. paper code

• (KR-EAR) Yankai Lin, Zhiyuan Liu, Maosong Sun. "Knowledge Representation Learning with Entities, Attributes and Relations". IJCAI 2016. paper code

• (ManifoldE) Han Xiao, Minlie Huang, Xiaoyan Zhu. "From One Point to a Manifold: Knowledge Graph Embedding for Precise Link Prediction". IJCAI 2016. paper code

• (m-TransH) Jianfeng Wen, Jianxin Li, Yongyi Mao, Shini Chen, Richong Zhang. "On the Representation and Embedding of Knowledge Bases beyond Binary Relations". IJCAI 2016. paper

• (TEKE) Zhigang Wang, Juanzi Li. "Text-Enhanced Representation Learning for Knowledge Graph". IJCAI 2016. paper

• (TKRL) Ruobing Xie, Zhiyuan Liu, Maosong Sun. "Representation Learning of Knowledge Graphs with Hierarchical Types". IJCAI 2016. paper code

• (FTransE) Jun Feng, Minlie Huang, Mingdong Wang, Mantong Zhou, Yu Hao, Xiaoyan Zhu. "Knowledge Graph Embedding by Flexible Translation". KR 2016. paper code

• (GCTF) Beyza Ermis, Evrim Acar, Ali Taylan Cemgil. "Link prediction in heterogeneous data via generalized coupled tensor factorization". Data Mining and Knowledge Discovery 2015. paper

• (TransR) Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu. "Learning Entity and Relation Embeddings for Knowledge Graph Completion". AAAI 2015. paper code

• (SSE) Shu Guo, Quan Wang, Bin Wang, Lihong Wang, Li Guo. "Semantically Smooth Knowledge Graph Embedding". ACL 2015. paper

• (TransD) Guoliang Ji, Shizhu He, Liheng Xu, Kang Liu, Jun Zhao. "Knowledge Graph Embedding via Dynamic Mapping Matrix". ACL 2015. paper

• (KG2E) Shizhu He, Kang Liu, Guoliang Ji, Jun Zhao. "Learning to Represent Knowledge Graphs with Gaussian Embedding". CIKM 2015. paper

• (Jointly(desp)) Huaping Zhong, Jianwen Zhang, Zhen Wang, Hai Wan, Zheng Chen. "Aligning Knowledge and Text Embeddings by Entity Descriptions". EMNLP 2015. paper

• (PTransE) Yankai Lin, Zhiyuan Liu, Huanbo Luan, Maosong Sun, Siwei Rao, Song Liu. "Modeling Relation Paths for Representation Learning of Knowledge Bases". EMNLP 2015. paper code

• (RTransE) Alberto Garcia-Duran, Antoine Bordes, Nicolas Usunier. "Composing Relationships with Translations". EMNLP 2015. paper

• (TransE-COMP) Kelvin Guu, John Miller, Percy Liang. "Traversing Knowledge Graphs in Vector Space". EMNLP 2015. paper code

• (DistMult) Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, Li Deng. "Embedding Entities and Relations for Learning and Inference in Knowledge Bases". ICLR 2015. paper

• (r-TransE) Quan Wang, Bin Wang, Li Guo. "Knowledge Base Completion Using Embeddings and Rules". IJCAI 2015. paper

• (TransH) Zhen Wang, Jianwen Zhang, Jianlin Feng, Zheng Chen. "Knowledge Graph Embedding by Translating on Hyperplanes". AAAI 2014. paper

• (pTransE) Zhen Wang, Jianwen Zhang, Jianlin Feng, Zheng Chen. "Knowledge Graph and Text Jointly Embedding". EMNLP 2014. paper

• (ER-MLP) Xin Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Ni Lao, Kevin Murphy, Thomas Strohmann, Shaohua Sun, Wei Zhang. "Knowledge vault: a web-scale approach to probabilistic knowledge fusion". KDD 2014. paper

• (NTN) Richard Socher, Danqi Chen, Christopher D. Manning, Andrew Y. Ng. "Reasoning With Neural Tensor Networks for Knowledge Base Completion". NeurIPS 2013. paper reviews

• (TransE) Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, Oksana Yakhnenko. "Translating Embeddings for Modeling Multi-relational Data". NeurIPS 2013. paper reviews

• (LFM) Rodolphe Jenatton, Nicolas L. Roux, Antoine Bordes, Guillaume R. Obozinski. "A Latent Factor Model for Highly Multi-relational Data". NeurIPS 2012. paper

• (SE) Antoine Bordes, Jason Weston, Ronan Collobert, Yoshua Bengio. "Learning Structured Embeddings of Knowledge Bases". AAAI 2011. paper

• (RESCAL) Nickel Maximilian, Tresp Volker, Kriegel Hans-Peter. "A Three-Way Model for Collective Learning on Multi-Relational Data". ICML 2011. paper code