Embedding Logical Queries on Knowledge Graphs

NeurIPS 2018 William L. HamiltonPayal BajajMarinka ZitnikDan JurafskyJure Leskovec

Learning low-dimensional embeddings of knowledge graphs is a powerful approach used to predict unobserved or missing edges between entities. However, an open challenge in this area is developing techniques that can go beyond simple edge prediction and handle more complex logical queries, which might involve multiple unobserved edges, entities, and variables... (read more)

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