Knowledge Representation Learning: A Quantitative Review

28 Dec 2018 Yankai Lin Xu Han Ruobing Xie Zhiyuan Liu Maosong Sun

Knowledge representation learning (KRL) aims to represent entities and relations in knowledge graph in low-dimensional semantic space, which have been widely used in massive knowledge-driven tasks. In this article, we introduce the reader to the motivations for KRL, and overview existing approaches for KRL... (read more)

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