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Awesome-Language-Model-on-Graphs

A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey" (TKDE)
https://github.com/PeterGriffinJin/Awesome-Language-Model-on-Graphs

Last synced: 17 days ago
JSON representation

Others

<img src="./fig/star.svg" width="15" height="15" /> LLM as Aligner (Graph)

  • [PDF - blue)
  • [PDF - blue)
  • [PDF - blue)
  • [PDF - GAMMA/GraphTeam)], 2024.10,
  • [PDF - GCoder/tree/master)], 2024.10,
  • [PDF
  • [PDF - GTS)], 2025.1,

Perspectives

Pure Graphs

<img src="./fig/star.svg" width="15" height="15" /> Algorithmic Reasoning

<img src="./fig/star.svg" width="15" height="15" /> Direct Answering

<img src="./fig/star.svg" width="15" height="15" /> Heuristic Reasoning

Text-Attributed Graphs

<img src="./fig/star.svg" width="15" height="15" /> Datasets

  • [PDF - Li/TEG-Benchmark/tree/main)] [Dataset], 2024.9,

<img src="./fig/star.svg" width="15" height="15" /> LLM as Aligner (Node)

<img src="./fig/star.svg" width="15" height="15" /> LLM as Encoder

<img src="./fig/star.svg" width="15" height="15" /> LLM as Predictor (Node)

Text-Paired Graphs (Molecules)

<img src="./fig/star.svg" width="15" height="15" /> Datasets

<img src="./fig/star.svg" width="15" height="15" /> LLM as Aligner (Graph)

<img src="./fig/star.svg" width="15" height="15" /> LLM as Predictor (Graph)

  • [PDF - smile/SMILES-BERT)], 2019.09,
  • [PDF - blue),
  • [PDF - PLM)], 2022.02,
  • [PDF - blue)
  • [PDF - blue)
  • [PDF - blue)
  • [PDF - nlp/MolT5)], 2022.12,
  • [PDF - blue)
  • [PDF - blue)
  • [PDF - blue)
  • [PDF - blue)
  • [PDF - blue)
  • [PDF - transformer)], 2023.6, ,
  • [PDF - blue)
  • [PDF - blue)
  • [PDF - blue)
  • [PDF - blue)
  • [PDF - blue)
  • [PDF - blue)
  • [PDF - blue)
  • [PDF - blue)
  • [PDF - blue)
  • [PDF - blue)
  • [PDF - ht/GIMLET)], 2023.6,
  • [PDF - blue)
  • [PDF - cn/relm)], 2023.10,
  • [PDF - blue)
  • [PDF - plus-molecules)], 2024.2,
  • [PDF - PLM)], 2022.02,
  • [PDF - blue)
  • [PDF - transformer)], 2023.6, ,
  • [PDF - PLM)], 2022.02,
  • [PDF - blue)
  • [PDF - transformer)], 2023.6, ,
  • [PDF - PLM)], 2022.02,
  • [PDF - blue)
  • [PDF - transformer)], 2023.6, ,
  • [PDF - PLM)], 2022.02,
  • [PDF - blue)
  • [PDF - transformer)], 2023.6, ,
  • [PDF - PLM)], 2022.02,
  • [PDF - blue)
  • [PDF - transformer)], 2023.6, ,
  • [PDF - PLM)], 2022.02,
  • [PDF - blue)
  • [PDF - transformer)], 2023.6, ,
  • [PDF - PLM)], 2022.02,
  • [PDF - blue)
  • [PDF - transformer)], 2023.6, ,
  • [PDF - PLM)], 2022.02,
  • [PDF - blue)
  • [PDF - transformer)], 2023.6, ,
  • [PDF - PLM)], 2022.02,
  • [PDF - blue)
  • [PDF - transformer)], 2023.6, ,
  • [PDF - PLM)], 2022.02,
  • [PDF - blue)
  • [PDF - transformer)], 2023.6, ,
  • [PDF - PLM)], 2022.02,
  • [PDF - blue)