Corpus ID: 211133026

Entity Context and Relational Paths for Knowledge Graph Completion

@article{Wang2020EntityCA,
  title={Entity Context and Relational Paths for Knowledge Graph Completion},
  author={Hongwei Wang and H. Ren and J. Leskovec},
  journal={ArXiv},
  year={2020},
  volume={abs/2002.06757}
}
Knowledge graph completion aims to predict missing relations between entities in a knowledge graph. While many different methods have been proposed, there is a lack of a unifying framework that would lead to state-of-the-art results. Here we develop PathCon, a knowledge graph completion method that harnesses four novel insights to outperform existing methods. PathCon predicts relations between a pair of entities by: (1) Considering the Relational Context of each entity by capturing the relation… Expand
9 Citations
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CoLAKE: Contextualized Language and Knowledge Embedding
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PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration
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LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding
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