Convolutional 2D Knowledge Graph Embeddings

@article{Dettmers2018Convolutional2K,
  title={Convolutional 2D Knowledge Graph Embeddings},
  author={Tim Dettmers and Pasquale Minervini and Pontus Stenetorp and Sebastian Riedel},
  journal={CoRR},
  year={2018},
  volume={abs/1707.01476}
}
Link prediction for knowledge graphs is the task of predicting missing relationships between entities. Previous work on link prediction has focused on shallow, fast models which can scale to large knowledge graphs. However, these models learn less expressive features than deep, multi-layer models – which potentially limits performance. In this work we introduce ConvE, a multi-layer convolutional network model for link prediction, and report state-of-the-art results for several established… CONTINUE READING
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