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中科院计算所
- 北京,中国
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A natural language modeling framework based on PyTorch
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities
TuckER: Tensor Factorization for Knowledge Graph Completion
Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)
Inductive relation prediction by subgraph reasoning, ICML'20
SimplE Embedding for Link Prediction in Knowledge Graphs
Few-Shot Graph Learning for Molecular Property Prediction
Combining relational context and relational paths for knowledge graph completion
ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification
We want to try and evaluate LLMs using Knowledge Graphs
Exploring large language models for knowledge graph completion
Implementation of the paper: "Answering Questions by Meta-Reasoning over Multiple Chains of Thought"
[Bioinformatics 2021] This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization'.
[IJCAI 2024] FactCHD: Benchmarking Fact-Conflicting Hallucination Detection
A curated list of resources dedicated to retrieval-augmented generation (RAG).
[IJCAI 2021 & AIJ 2023] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
Knowledge Graph Reasoning with Relational Digraph. WebConf 2022
Few-shot In-context Learning for Knowledge Base Question Answering
SIGIR2021: Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion
[CIKM 2021] Official code of "DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network"
[ACL'23] Open KG Completion with PLM (Bridging Text Mining and Prompt Engineering)
Official implementation of Inductive Logical Query Answering in Knowledge Graphs (NeurIPS 2022)
InGram: Inductive Knowledge Graph Embedding via Relation Graphs (ICML 2023)
Implementation of the BoxE model from the NeurIPS 2020 paper "BoxE: A Box Embedding Model for Knowledge Base Completion". Also includes a visualization tool, BoxEViz, to show the evolution of boxes…