Web: http://arxiv.org/abs/2008.04548

Jan. 12, 2022, 2:10 a.m. | Haonan Lu, Hailin Hu, Xiaodong Lin

cs.LG updates on arXiv.org arxiv.org

Capturing the composition patterns of relations is a vital task in knowledge
graph completion. It also serves as a fundamental step towards multi-hop
reasoning over learned knowledge. Previously, several rotation-based
translational methods have been developed to model composite relations using
the product of a series of complex-valued diagonal matrices. However, these
methods tend to make several oversimplified assumptions on the composite
relations, e.g., forcing them to be commutative, independent from entities and
lacking semantic hierarchy. To systematically tackle these problems, we have
developed a novel knowledge graph embedding method, named …

ai arxiv embedding for graph knowledge graph semantic

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