Browsing Data Science Institute (Conference Papers) by Subject "Knowledge graph embeddings"
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Regularizing knowledge graph embeddings via equivalence and inversion axioms
(Springer Verlag, 2017-12-30)Learning embeddings of entities and relations using neural architectures is an effective method of performing statistical learning on large-scale relational data, such as knowledge graphs. In this paper, we consider the ...