Knowledge Graph Embedding: A Survey of Approaches and Applications

@article{Wang2017KnowledgeGE,
  title={Knowledge Graph Embedding: A Survey of Approaches and Applications},
  author={Quan Wang and Zhendong Mao and Bin Wang and Li Guo},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2017},
  volume={29},
  pages={2724-2743}
}
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… CONTINUE READING
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