Knowledge Graph Embedding: A Survey of Approaches and Applications
Quan Wang, Zhendong Mao, Bin Wang et al.
2017 · IEEE Transactions on Knowledge and Data Engineering · 2,637 citations
Knowledge graph (KG) embedding is to embed components of a KG including entities and relations into continuous vector spaces, so as to simplify the manipulation while preserving the inherent structure of the KG. It can benefit a variety of downstream tasks such as KG completion and relation extraction, and hence has quickly gained massive attention. In this article, we provide a systematic review of existing techniques, including not only the state-of-the-arts but also those with latest trends. Particularly, we make the review based on the type of information used in the embedding task. Techn…
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