Corpus ID: 52171640

Embedding Logical Queries on Knowledge Graphs

@inproceedings{Hamilton2018EmbeddingLQ,
  title={Embedding Logical Queries on Knowledge Graphs},
  author={William L. Hamilton and P. Bajaj and M. Zitnik and Dan Jurafsky and J. Leskovec},
  booktitle={NeurIPS},
  year={2018}
}
Learning low-dimensional embeddings of knowledge graphs is a powerful approach used to predict unobserved or missing edges between entities. [...] Key Method In our approach, we embed graph nodes in a low-dimensional space and represent logical operators as learned geometric operations (e.g., translation, rotation) in this embedding space.Expand
72 Citations
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