Rule-Guided Compositional Representation Learning on Knowledge Graphs

20 Nov 2019Guanglin NiuYongfei ZhangBo LiPeng CuiSi LiuJingyang LiXiaowei Zhang

Representation learning on a knowledge graph (KG) is to embed entities and relations of a KG into low-dimensional continuous vector spaces. Early KG embedding methods only pay attention to structured information encoded in triples, which would cause limited performance due to the structure sparseness of KGs... (read more)

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