Analyzing Knowledge Graph Embedding Methods from a Multi-Embedding Interaction Perspective

27 Mar 2019Hung Nghiep TranAtsuhiro Takasu

Knowledge graph is a popular format for representing knowledge, with many applications to semantic search engines, question-answering systems, and recommender systems. Real-world knowledge graphs are usually incomplete, so knowledge graph embedding methods, such as Canonical decomposition/Parallel factorization (CP), DistMult, and ComplEx, have been proposed to address this issue... (read more)

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