A list of recent papers about GNN methods applied in NLP areas. Now, the repository includes papers published at ACL, EMNLP, NAACL-HLT, COLING, ICLR, WWW, IJCAI, AAAI, NIPS, ICML, KDD, SIGIR and so on.
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New! Jan. 01, 2026: Update to 2026! Added LLM and GraphRAG!
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New! Oct. 12, 2022: Add COLING-2022!
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Sep. 20, 2022: Add NAACL-2022
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May. 23, 2022: Add ACL-2022
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Nov. 9, 2021: Add EMNLP-2021
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Jul. 28, 2021: Add ACL-2021
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May. 24, 2021: Add NAACL-2021
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Dec. 14, 2020: Add COLING-2020
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Dec. 01, 2020: Add EMNLP-2020
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Jun. 24, 2020: Add ACL-2020, GNN tools, and Ph.D. thesis.
- Abnormal Text Detection
- Dialogue
- Fundamental NLP Tasks
- LLM and Graph
- Information Extraction
- Knowledge Graph
- Question Answering
- Sentiment Analysis
- Text Classification
- Text Generation
- Theory
- Visual Question Answering
naganandy/graph-based-deep-learning-literature
nnzhan/Awesome-Graph-Neural-Networks
CS224W: Machine Learning with Graphs
Natural Language Processing and Text Mining with Graph-Structured Representations, Bang Liu, University of Alberta.
Deep learning with graph-structured representations, Thomas Norbert Kipf, University of Amsterdam.
Neural Graph Embedding Methods for Natural Language Processing, Shikhar Vashishth, Indian Institute of Science.
The resurgence of structure in deep neural networks, Petar Veliˇckovi´c, University of Cambridge.
