Awesome

AKGR: Awesome Knowledge Graph Reasoning

AKGR is a collection of knowledge graph reasoning works, including papers, codes and datasets :fire:. Any problems, please contact liangke200694@126.com or liangke200694@gmail.com. Any other interesting papers or codes are welcome. If you find this repository useful to your research or work, it is really appreciated to star this repository.:heart:

🌻 If the corresponding survey paper is also useful for you, please cite:

@ARTICLE{10577554,
  author={Liang, Ke and Meng, Lingyuan and Liu, Meng and Liu, Yue and Tu, Wenxuan and Wang, Siwei and Zhou, Sihang and Liu, Xinwang and Sun, Fuchun and He, Kunlun},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
  title={A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal}, 
  year={2024},
  volume={},
  number={},
  pages={1-20},
  doi={10.1109/TPAMI.2024.3417451}}

Bookmarks <span id="bookmarks"></span>

• Survey Papers
• Datasets :fire:
• • Static Knowledge Graphs
• • • Transductive Datasets
• • • Inductive Datasets
• • Temporal Knowledge Graphs
• • Multi-Modal Knowledge Graphs
• Static Knowledge Graph Reasoning
• • Translational Models
• • Tensor Decompositional Models
• • Neural Network Models
• • • Traditional Neural Network Models
• • • Convolutional Neural Network Models
• • • Graph Neural Network Models
• • • Transformer Models
• • Path-based Models
• • Rule-based Models
• Temporal Knowledge Graph Reasoning
• • RNN-based Models
• • • Quadruple-based Models
• • • Path-based Models
• • • Graph-based Models
• • RNN-agnostic Models
• • • Time-Vector Guided Models
• • • Time-Operation Guided Models
• Multi-Modal Knowledge Graph Reasoning
• • Transformer-agnostic Models
• • Transformer-based Models
• Useful Libararies

Survey Papers <span id="survey-papers-"></span>

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Datasets <span id="datasets-"></span>

Static KGR Datasets <span id="static-knowledge-graphs-"></span>

Transductive Datasets <span id="transductive-datasets-"></span>

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Inductive Datasets <span id="inductive-datasets-"></span>

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Temporal KGR Datasets <span id="temporal-knowledge-graphs-"></span>

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Multi-Modal KGR Datasets <span id="multi-modal-knowledge-graphs-"></span>

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Static Knowledge Graph Reasoning <span id="static-knowledge-graph-reasoning-"></span>

Translational Models <span id="translational-models-"></span>

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Tensor Decompositional Models <span id="tensor-decompositional-models-"></span>

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Neural Network Models <span id="neural-network-models-"></span>

Tranditional NN Models <span id="traditonal-neural-network-models-"></span>

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CNN Models <span id="convolutional-neural-network-models-"></span>

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GNN Models <span id="graph-neural-network-models-"></span>

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Transformer Models <span id="transformer-models-"></span>

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Path-based Models <span id="path-based-models-"></span>

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Rule-based Models <span id="rule-based-models-"></span>

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Temporal Knowledge Graph Reasoning <span id="temporal-knowledge-graph-reasoning-"></span>

Evaluation Papers <span id="rnn-based-models-"></span>

RNN-based Models <span id="rnn-based-models-"></span>

Quadruple-based Models <span id="quadruple-based-models-"></span>

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Path-based Models <span id="path-based-models-"></span>

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Graph-based Models <span id="graph-based-models-"></span>

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RNN-agnostic Models <span id="rnn-agnostic-models-"></span>

Time-Vector Guided Models <span id="time-vector-guided-models-"></span>

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Time-Operation Guided Models <span id="time-operation-guided-models-"></span>

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Multi-Modal Knowledge Graph Reasoning <span id="multi-modal-knowledge-graph-reasoning-"></span>

Transformer-agnostic Model <span id="transformer-agnostic-models-"></span>

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Transformer-based Model <span id="transformer-based-models-"></span>

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Useful Libararies <span id="useful-libararies-"></span>

• LibKGE code
• OpenKE code
• PyKEEN code
• Pykg2vec code
• GraphVite code
• Scikit-KGE code
• AmpliGraph code
• Awesome-LLM-KG code
• KG-Tutorials code

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