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-# explainable-kg-construction
-Repository for explainable knowledge graph construction papers
+# Explainable Knowledge Graph Construction Papers
+
+## Papers
+
+### Entity Extraction
+- **AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction** [EACL '23]
+ - [[URL](https://arxiv.org/abs/2109.04726)]
+- **BTPK-based learning: An Interpretable Method for Named Entity Recognition** [arXiv '22]
+ - [[URL](https://arxiv.org/abs/2201.09523)]
+- **Expert-Guided Entity Extraction using Expressive Rules** [SIGIR '19]
+ - [[URL](https://dl.acm.org/doi/10.1145/3331184.3331392)]
+- **Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition** [ACL '20]
+ - [[URL]](https://arxiv.org/abs/2004.14514) [[GitHub](https://github.com/hiroki13/instance-based-ner)]
+- **Lightly-supervised Representation Learning with Global Interpretability** [Workshop on Structured Prediction for NLP '19]
+ - [[URL](https://aclanthology.org/W19-1504/)]
+- **TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition** [ACL '20]
+ - [[URL](https://arxiv.org/abs/2004.07493)] [[GitHub](https://github.com/INK-USC/TriggerNER)]
+
+### Relation Extraction
+- **Broad-coverage biomedical relation extraction with SemRep** [BMC Bioinformatics, Volume 21]
+ - [[URL](https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-020-3517-7)]
+- **D-REX: Dialogue Relation Extraction with Explanations** [Workshop on NLP for Conversational AI '22]
+ - [[URL](https://arxiv.org/abs/2109.05126)] [[GitHub](https://github.com/alon-albalak/D-REX)]
+- **Document-level relation extraction using evidence reasoning on RST-GRAPH** [Knowledge-Based Systems, Volume 228]
+ - [[URL](https://www.sciencedirect.com/science/article/abs/pii/S0950705121005360)]
+- **Learning Logic Rules for Document-level Relation Extraction** [EMNLP '21]
+ - [[URL](https://arxiv.org/abs/2111.05407)] [[GitHub](https://github.com/rudongyu/LogiRE)]
+- **NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction** [WWW '20]
+ - [[URL](https://dl.acm.org/doi/10.1145/3366423.3380282)] [[GitHub](https://github.com/INK-USC/NERO)]
+- **Prototypical Representation Learning for Relation Extraction** [ICLR '21]
+ - [[URL](https://arxiv.org/abs/2103.11647)] [[GitHub](https://github.com/Alibaba-NLP/ProtoRE)]
+- **Relation Extraction with Explanation** [ACL '20]
+ - [[URL](https://arxiv.org/abs/2005.14271)]
+- **SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction** [NAACL '22]
+ - [[URL](https://arxiv.org/abs/2109.12093)] [[GitHub](https://github.com/xiaoyuxin1002/SAIS)]
+- **SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction** [ACL-IJCNLP '21]
+ - [[URL](https://aclanthology.org/2021.findings-acl.47/)] [[GitHub](https://github.com/DreamInvoker/SIRE)]
+
+### Entity Linking
+- **EABlock: a declarative entity alignment block for knowledge graph creation pipelines** [SAC '22]
+ - [[URL](https://dl.acm.org/doi/10.1145/3477314.3507132)] [[GitHub](https://github.com/SDM-TIB/EABlock)]
+- **Effective Explanations for Entity Resolution Models** [ICDE '22]
+ - [[URL](https://arxiv.org/abs/2203.12978)] [[GitHub](https://github.com/tteofili/certa)]
+- **EXPLAINER: Entity Resolution Explanations** [ICDE '19]
+ - [[URL](https://ieeexplore.ieee.org/document/8731597)]
+- **From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment** [EMNLP '21]
+ - [[URL](https://arxiv.org/abs/2109.02363)] [[GitHub](https://github.com/MaoXinn/SEU)]
+- **Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making** [ACL '21]
+ - [[URL](https://arxiv.org/abs/2106.04174)] [[GitHub](https://github.com/THU-KEG/HIF-KAT)]
+- **Interpretable entity meta-alignment in knowledge graphs using penalized regression: a case study in the biomedical domain** [Progress in Artificial Intelligence, Volume 11]
+ - [[URL](https://link.springer.com/article/10.1007/s13748-021-00263-1)]
+- **Interpreting deep learning models for entity resolution: an experience report using LIME** [aiDM '19]
+ - [[URL](https://dl.acm.org/doi/10.1145/3329859.3329878)]
+- **Keys as Features for Graph Entity Matching** [ICDE '20]
+ - [[URL](https://ieeexplore.ieee.org/document/9101779)]
+- **Landmark Explanation: An Explainer for Entity Matching Models** [CIKM '21]
+ - [[URL](https://dl.acm.org/doi/10.1145/3459637.3481981)] [[GitHub](https://github.com/softlab-unimore/landmark)]
+- **LEMON: Explainable Entity Matching** [IEEE Transactions on Knowledge and Data Engineering, Early Access]
+ - [[URL](https://arxiv.org/abs/2110.00516)] [[GitHub](https://github.com/NilsBarlaug/lemon)]
+- **LightEA: A Scalable, Robust, and Interpretable Entity Alignment Framework via Three-view Label Propagation** [EMNLP '22]
+ - [[URL](https://arxiv.org/abs/2210.10436)] [[GitHub](https://github.com/MaoXinn/LightEA)]
+- **Minun: evaluating counterfactual explanations for entity matching** [DEEM '22]
+ - [[URL](https://dl.acm.org/doi/10.1145/3533028.3533304)] [[GitHub](https://github.com/megagonlabs/minun)]
+- **Synthesizing entity matching rules by examples** [VLDB Endowment, Volume 11]
+ - [[URL](https://dl.acm.org/doi/10.14778/3149193.3149199)]
+- **SystemER: a human-in-the-loop system for explainable entity resolution** [VLDB Endowment, Volume 12]
+ - [[URL](https://dl.acm.org/doi/10.14778/3352063.3352068)]
+- **TuneR: Fine Tuning of Rule-based Entity Matchers** [CIKM '19]
+ - [[URL](https://dl.acm.org/doi/10.1145/3357384.3357854)]
+- **xER: An Explainable Model for Entity Resolution using an Efficient Solution for the Clique Partitioning Problem** [Workshop on Trustworthy Natural Language Processing '21]
+ - [[URL](https://aclanthology.org/2021.trustnlp-1.5/)]
+- **XINA: Explainable Instance Alignment Using Dominance Relationship** [ IEEE TKDE, Volume 32]
+ - [[URL](https://ieeexplore.ieee.org/document/8540085)]
+
+### Link Prediction
+- **An Approach Based on Semantic Similarity to Explaining Link Predictions on Knowledge Graphs** [WI-IAT '21]
+ - [[URL](https://dl.acm.org/doi/10.1145/3486622.3493956)] [[GitHub](https://github.com/pierulohacker/SemanticCrossE/tree/master/explanation)]
+- **An Interpretable Knowledge Transfer Model for Knowledge Base Completion** [ACL '17]
+ - [[URL](https://arxiv.org/abs/1704.05908)]
+- **CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion** [ACL '22]
+ - [[URL](https://arxiv.org/abs/2202.13785)] [[GitHub](https://github.com/ngl567/CAKE)]
+- **CogKR: Cognitive Graph for Multi-Hop Knowledge Reasoning** [IEEE TKDE, Volume 35]
+ - [[URL](https://ieeexplore.ieee.org/document/9512424)] [[GitHub](https://github.com/THUDM/CogKR)]
+- **Collaborative Policy Learning for Open Knowledge Graph Reasoning** [EMNLP '19]
+ - [[URL](https://arxiv.org/abs/1909.00230)] [[GitHub](https://github.com/INK-USC/CPL)]
+- **Contextual relation embedding and interpretable triplet capsule for inductive relation prediction** [Neurocomputing, Volume 505]
+ - [[URL](https://www.sciencedirect.com/science/article/pii/S0925231222008992)]
+- **DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning** [EMNLP '17]
+ - [[URL](https://arxiv.org/abs/1707.06690)] [[GitHub](https://github.com/xwhan/DeepPath)]
+- **DensE: An enhanced non-commutative representation for knowledge graph embedding with adaptive semantic hierarchy** [Neurocomputing, Volume 476]
+ - [[URL](https://www.sciencedirect.com/science/article/pii/S0925231221019342)]
+- **Differentiable Learning of Logical Rules for Knowledge Base Reasoning** [NIPS '17]
+ - [[URL](https://arxiv.org/abs/1702.08367)] 
+- **DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network** [CIKM '21]
+ - [[URL](https://dl.acm.org/doi/10.1145/3459637.3482424)] [[GitHub](https://github.com/junkangwu/DisenKGAT)]
+- **DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs** [NIPS '19]
+ - [[URL](https://arxiv.org/abs/1911.00055)] 
+- **End-to-end Differentiable Proving** [NIPS '17]
+ - [[URL](https://papers.nips.cc/paper/2017/hash/b2ab001909a8a6f04b51920306046ce5-Abstract.html)] 
+- **Explainable GNN-Based Models over Knowledge Graphs** [ICLR '22]
+ - [[URL](https://openreview.net/forum?id=CrCvGNHAIrz)]
+- **Explainable Link Prediction for Emerging Entities in Knowledge Graphs** [ISWC '20]
+ - [[URL](https://arxiv.org/abs/2005.00637)] [[GitHub](https://github.com/kingsaint/InductiveExplainableLinkPrediction)]
+- **Explaining Link Prediction Systems based on Knowledge Graph Embeddings** [SIGMOD '22]
+ - [[URL](https://dl.acm.org/doi/10.1145/3514221.3517887)] [[GitHub](https://github.com/AndRossi/Kelpie)]
+- **Explaining Neural Matrix Factorization with Gradient Rollback** [AAAI '21]
+ - [[URL](https://arxiv.org/abs/2010.05516)] [[GitHub](https://github.com/carolinlawrence/gradient-rollback)]
+- **Fine-grained relational learning for few-shot knowledge graph completion** [ACM SIGAPP Applied Computing Review, Volume 22]
+ - [[URL](https://dl.acm.org/doi/10.1145/3570733.3570735)]
+- **Fusing topology contexts and logical rules in language models for knowledge graph completion** [Information Fusion, Volume 90]
+ - [[URL](https://www.sciencedirect.com/science/article/pii/S1566253522001592)]
+- **Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning** [ICLR '18]
+ - [[URL](https://arxiv.org/abs/1711.05851)] [[GitHub](https://github.com/shehzaadzd/MINERVA)]
+- **Graph Intention Neural Network for Knowledge Graph Reasoning** [IJCNN '22]
+ - [[URL](https://ieeexplore.ieee.org/document/9892730)]
+- **HiAM: A Hierarchical Attention based Model for knowledge graph multi-hop reasoning** [Neural Networks, Volume 143]
+ - [[URL](https://www.sciencedirect.com/science/article/pii/S0893608021002409)]
+- **HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations** [CIKM '21]
+ - [[URL](https://dl.acm.org/doi/10.1145/3459637.3482263)] [[GitHub](https://github.com/ansonb/HopfE)]
+- **Influence Functions for Interpretable link prediction in Knowledge Graphs for Intelligent Environments** [SpliTech '22]
+ - [[URL](https://ieeexplore.ieee.org/abstract/document/9854264)] [[GitHub](https://github.com/unai-zulaika/KGInfluence)]
+- **Interaction Embeddings for Prediction and Explanation in Knowledge Graphs** [WSDM '19]
+ - [[URL](https://dl.acm.org/doi/10.1145/3289600.3291014)] [[GitHub](https://github.com/wencolani/CrossE)]
+- **Interpretable Graph Convolutional Neural Networks for Inference on Noisy Knowledge Graphs** [NIPS '18 ML4H Workshop]
+ - [[URL](https://arxiv.org/abs/1812.00279)]
+- **Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications** [NAACL '19]
+ - [[URL](https://arxiv.org/abs/1905.00563)] [[GitHub](https://github.com/pouyapez/criage)]
+- **Iterative rule-guided reasoning over sparse knowledge graphs with deep reinforcement learning** [Information Processing & Management, Volume 59]
+ - [[URL](https://www.sciencedirect.com/science/article/pii/S0306457322001492)]
+- **Joint semantics and data-driven path representation for knowledge graph reasoning** [Neurocomputing, Volume 483]
+ - [[URL](https://www.sciencedirect.com/science/article/pii/S0925231222001515)]
+- **Knowledge Graph Embedding in E-commerce Applications: Attentive Reasoning, Explanations, and Transferable Rules** [IJCKG '21]
+ - [[URL](https://dl.acm.org/doi/abs/10.1145/3502223.3502232)] 
+- **Knowledge Graph Reasoning with Relational Digraph** [WWW '22]
+ - [[URL](https://arxiv.org/abs/2108.06040)] [[GitHub](https://github.com/LARS-research/RED-GNN)]
+- **Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning** [EMNLP '20]
+ - [[URL](https://arxiv.org/abs/2005.00571)] [[GitHub](https://github.com/derenlei/KG-RuleGuider)]
+- **Learning to Walk across Time for Interpretable Temporal Knowledge Graph Completion** [KDD '21]
+ - [[URL](https://dl.acm.org/doi/10.1145/3447548.3467292)] [[GitHub](https://github.com/jaehunjung1/T-GAP)]
+- **Logic and Commonsense-Guided Temporal Knowledge Graph Completion** [AAAI '23]
+ - [[URL](https://arxiv.org/abs/2211.16865)] [[GitHub](https://github.com/ngl567/LCGE)]
+- **METransE: Manifold-like mechanism enhanced embedding for reasoning over knowledge graphs** [Expert Systems with Applications, Volume 209]
+ - [[URL](https://www.sciencedirect.com/science/article/pii/S0957417422014245)]
+- **Modeling Paths for Explainable Knowledge Base Completion** [ACL '19 BlackboxNLP Workshop]
+ - [[URL](https://aclanthology.org/W19-4816/)] [[GitHub](https://github.com/JosuaStadelmaier/CPM)]
+- **Negative sampling and rule mining for explainable link prediction in knowledge graphs** [Knowledge-Based Systems, Volume 250]
+ - [[URL](https://www.sciencedirect.com/science/article/pii/S0950705122005342)] 
+- **Reasoning on Knowledge Graphs with Debate Dynamics** [AAAI '20]
+ - [[URL](https://ojs.aaai.org//index.php/AAAI/article/view/6600)] [[GitHub](https://github.com/m-hildebrandt/R2D2)]
+- **Reinforced Anytime Bottom Up Rule Learning for Knowledge Graph Completion** [arXiv '20]
+ - [[URL](https://arxiv.org/abs/2004.04412)] [[URL](https://web.informatik.uni-mannheim.de/AnyBURL/)]
+- **Relational Message Passing for Knowledge Graph Completion** [KDD '21]
+ - [[URL](https://dl.acm.org/doi/10.1145/3447548.3467247)] [[GitHub](https://github.com/hwwang55/PathCon)]
+- **RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs** [ICLR '21]
+ - [[URL](https://arxiv.org/abs/2010.04029)] [[GitHub](https://github.com/DeepGraphLearning/RNNLogic)]
+- **Rule-Guided Compositional Representation Learning on Knowledge Graphs** [AAAI '20]
+ - [[URL](https://arxiv.org/abs/1911.08935)] [[GitHub](https://github.com/ngl567/RPJE)]
+- **SAFRAN: An interpretable, rule-based link prediction method outperforming embedding models** [AKBC '21]
+ - [[URL](https://arxiv.org/abs/2109.08002)] [[GitHub](https://github.com/OpenBioLink/SAFRAN)]
+- **Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks** [WWW '21]
+ - [[URL](https://dl.acm.org/doi/10.1145/3442381.3450060)] [[GitHub](https://github.com/pnnl/SLICE)]
+- **SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning** [EMNLP '22]
+ - [[URL](https://arxiv.org/abs/2201.06206)] [[GitHub](https://github.com/bys0318/SQUIRE)]
+- **Step by step: A hierarchical framework for multi-hop knowledge graph reasoning with reinforcement learning** [Knowledge-Based Systems, Volume 248]
+ - [[URL](https://www.sciencedirect.com/science/article/pii/S0950705122004026)] [[GitHub](https://github.com/CC1st/step-by-step-mindspore)] [[GitHub](https://github.com/AnneZhu1020/Step-by-step)]
+- **Supervised Knowledge Aggregation for Knowledge Graph Completion** [ESWC '22]
+ - [[URL](https://link.springer.com/chapter/10.1007/978-3-031-06981-9_5)] [[GitHub](https://github.com/Nzteb/latent-rules)]
+- **TAGAT: Type-Aware Graph Attention neTworks for reasoning over knowledge graphs** [Knowledge-Based Systems, Volume 233]
+ - [[URL](https://www.sciencedirect.com/science/article/pii/S0950705121007620)]
+- **Theoretical Rule-based Knowledge Graph Reasoning by Connectivity Dependency Discovery** [IJCNN '22]
+ - [[URL](https://ieeexplore.ieee.org/document/9891938)]
+- **TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting** [EMNLP '21]
+ - [[URL](https://arxiv.org/abs/2109.04101)] [[GitHub](https://github.com/JHL-HUST/TITer/)]
+- **TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs** [AAAI '22]
+ - [[URL](https://ojs.aaai.org/index.php/AAAI/article/view/20330)] [[GitHub](https://github.com/liu-yushan/TLogic)]
+- **Towards Learning Instantiated Logical Rules from Knowledge Graphs** [arXiv '20]
+ - [[URL](https://arxiv.org/abs/2003.06071)] [[GitHub](https://github.com/irokin/GPFL)]
+- **xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links** [ICLR '21]
+ - [[URL](https://arxiv.org/abs/2012.15537)] [[GitHub](https://github.com/TemporalKGTeam/xERTE)]
+- **XTransE: Explainable Knowledge Graph Embedding for Link Prediction with Lifestyles in e-Commerce** [JIST '19]
+ - [[URL](https://link.springer.com/chapter/10.1007/978-981-15-3412-6_8)]
+
+### Ontology Evolution
+- **Multi-domain and Explainable Prediction of Changes in Web Vocabularies** [K-CAP '21]
+ - [[URL](https://dl.acm.org/doi/10.1145/3460210.3493583)] [[GitHub](https://github.com/albertmeronyo/ConceptDrift)]
+
+### Inconsistency Detection
+- **Fast Computation of Explanations for Inconsistency in Large-Scale Knowledge Graphs** [WWW '20]
+ - [[URL](https://dl.acm.org/doi/abs/10.1145/3366423.3380014)] [[GitHub](https://github.com/boschresearch/kg_inconsistency_explanation)]
+
+## Citation
+```text
+@incollection{zhang2023towards,
+ title={Towards Explainable Automatic Knowledge Graph Construction with Human-in-the-Loop},
+ author={Zhang, Bohui and Mero{\~n}o Pe{\~n}uela, Albert and Simperl, Elena},
+ booktitle={HHAI 2023: Augmenting Human Intellect},
+ pages={274--289},
+ year={2023},
+ publisher={IOS Press}
+}
+```