KNOWLEDGE GRAPH EMBEDDING REPRESENTATION METHOD, AND RELATED DEVICE

    公开(公告)号:US20220121966A1

    公开(公告)日:2022-04-21

    申请号:US17563411

    申请日:2021-12-28

    Abstract: A knowledge graph embedding representation method and a related device are disclosed. The method includes: obtaining, from a preset knowledge base, N related entities of each entity in M entities of a target knowledge graph and K concepts corresponding to each of the N related entities, determining a semantic correlation between each entity and each of the N related entities of the entity, determining a first entity embedding representation of each of the N related entities based on the corresponding K concepts, modeling, based on the first entity embedding representation and the semantic correlation, an entity/relationship embedding representation, and training a model according to an attention mechanism and a preset model training method, to obtain the entity/relationship embedding representation.

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