A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization

NAACL 2019 Dai Quoc NguyenThanh VuTu Dinh NguyenDat Quoc NguyenDinh Phung

In this paper, we introduce an embedding model, named CapsE, exploring a capsule network to model relationship triples (subject, relation, object). Our CapsE represents each triple as a 3-column matrix where each column vector represents the embedding of an element in the triple... (read more)

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