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Rethinking Generalization in Knowledge Graph Embedding: An Empirical Study and Sparse Peak Regularization

Li, Linyu et al.
arXiv (All) · Papers
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computation-and-languagemachine-learning
Knowledge graphs (KGs) provide structured representations of entities and relations, and underpin data management and Web applications such as search, recommendation, and question answering. Since Web-scale KGs such as Freebase and Wikidata are inherently incomplete, knowledge graph embedding (KGE)
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