Semi-supervised entity alignment via joint knowledge embedding model and cross-graph model

• Main Authors: LI, Chengjiang, CAO, Yixin, HOU, Lei, SHI, Jiaxin, LI, Juanzi, CHUA, Tat-Seng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/7458; https://ink.library.smu.edu.sg/context/sis_research/article/8461/viewcontent/D19_1274.pdf
• Institution: Singapore Management University

Entity alignment aims at integrating complementary knowledge graphs (KGs) from different sources or languages, which may benefit many knowledge-driven applications. It is challenging due to the heterogeneity of KGs and limited seed alignments. In this paper, we propose a semi-supervised entity align...