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Dynamic (Temporal) Knowledge Graph Completion (Reasoning)

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Dynamic Knowledge Graph Completion

This page is to summarize important materials about dynamic (temporal) knowledge graph completion and dynamic graph embedding.

Bookmarks

Temporal Knowledge Graph Completion / Reasoning

  • Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs
    • Woojeong Jin, Meng Qu, Xisen Jin, Xiang Ren. EMNLP 2020.
      • This work is on an extrapolation problem which is to make predictions at unobserved times, different from interpolation work.
      • Proposes a novel neural architecture for modeling complex entity interaction sequences, which consists of a recurrent event encoder and a neighborhood aggregator.
      • Explores various neighborhood aggregators: a multi-relational graph aggregator demonstrates its effectiveness among them.
      • Code and Data

Dynamic Graph Embedding

Knowledge Graph Embedding

Static Graph Embedding

Other Survey Papers

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