2000 character limit reached
Group Representation Theory for Knowledge Graph Embedding (1909.05100v2)
Published 11 Sep 2019 in cs.LG, cs.AI, and math.RT
Abstract: Knowledge graph embedding has recently become a popular way to model relations and infer missing links. In this paper, we present a group theoretical perspective of knowledge graph embedding, connecting previous methods with different group actions. Furthermore, by utilizing Schur's lemma from group representation theory, we show that the state of the art embedding method RotatE can model relations from any finite Abelian group.