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Locally Adaptive Translation for Knowledge Graph Embedding

4 Dec 2015 • Yantao Jia • Yuanzhuo Wang • Hailun Lin • Xiaolong Jin • Xue-Qi Cheng

Knowledge graph embedding aims to represent entities and relations in a large-scale knowledge graph as elements in a continuous vector space. Existing methods, e.g., TransE and TransH, learn embedding representation by defining a global margin-based loss function over the data... (read more)

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FB15k WN18

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METHOD TYPE
TransE
Graph Embeddings
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