Query2Particles: Knowledge Graph Reasoning with Particle Embeddings. (arXiv:2204.12847v1 [cs.CL])

Answering complex logical queries on incomplete knowledge graphs (KGs) with
missing edges is a fundamental and important task for knowledge graph
reasoning. The query embedding method is proposed to answer these queries by
jointly encoding queries and entities to the same embedding space. Then the
answer entities are selected according to the similarities between the entity
embeddings and the query embedding. As the answers to a complex query are
obtained from a combination of logical operations over sub-queries, the
embeddings …

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