Path Ranking with Attention to Type Hierarchies

@article{Liu2020PathRW,
  title={Path Ranking with Attention to Type Hierarchies},
  author={Weiyu Liu and A. Daruna and Z. Kira and S. Chernova},
  journal={ArXiv},
  year={2020},
  volume={abs/1905.10799}
}
The knowledge base completion problem is the problem of inferring missing information from existing facts in knowledge bases. [...] Key Method We leverage type hierarchies of entities to create a new class of path patterns that are both discriminative and generalizable. Then we propose an attention-based RNN model, which can be trained end-to-end, to discover the new path patterns most suitable for the data. Experiments conducted on two benchmark knowledge base completion datasets demonstrate that the proposed…Expand
Joint Semantics and Data-Driven Path Representation for Knowledge Graph Inference

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