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Static-Temporal Multi-Relational Research

👋 Hi, this is STMR2 which means Static-Temporal Multi-Relational Research

👩‍💻 Currently, we study for:

  • 👉 Reasoning on multi-relational data
  • 👉 Knowledge graph completion
  • 👉 Temporal knowledge graph reasoning, and focasting
  • 👉 Learning types: supervised learning, reinforcement learning

📧 Contact: Le Nhut Nam (nam.lnhut@gmail.com)

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  1. tkger tkger Public

    Some papers on Temporal Knowledge Graph Embedding and Reasoning

    Python 51 3

  2. TKGC-Benchmark-Datasets TKGC-Benchmark-Datasets Public

    Temporal Knowledge Graph Completion Benchmark Datasets

    Python 2

  3. QuatRDE QuatRDE Public

    QuatRDE: Dynamic Relation-Aware Quaternions for Knowledge Graph Embeddings

    Python 5 1

  4. ComplExInteraction ComplExInteraction Public

    CInteractE: Complex Convolution-based Knowledge Graph Embedding for Link Prediction

    Python 4 1

  5. LinearComplEx LinearComplEx Public

    Linearity Trick for Complex Embedding Model Enhancing Link Prediction on Knowledge Graphs

    Python 3

  6. NeuPLowFER NeuPLowFER Public

    NonLowFER: Neural Network Powered Low-rank Bilinear Pooling for Link Prediction on Knowledge Graph

    Python 1

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