Knowledge graph embedding by normalizing flows

• Main Authors: XIAO, Changyi, HE, Xiangnan, CAO, Yixin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Complex random variables; Embeddings; Euclidean spaces; Graph embeddings; Knowledge graphs; Point wise; Representation space; Space Vector; Symmetric groups; Uncertainty; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/8299; https://ink.library.smu.edu.sg/context/sis_research/article/9302/viewcontent/Knowledge_Graph_enhanced_Aspect_Based_Sentiment_Analysis_Final.pdf
• Institution: Singapore Management University

A key to knowledge graph embedding (KGE) is to choose a proper representation space, e.g., point-wise Euclidean space and complex vector space. In this paper, we propose a unified perspective of embedding and introduce uncertainty into KGE from the view of group theory. Our model can incorporate exi...