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A B S T R A C T Knowledge Graphs (KGs), as a structured human knowledge, manage data in an ease-of-store, recognizable, and understandable way for machines and provide a rich knowledge base for different artificial intelligence applications. However, current multi-source KGs have heterogeneity and complementarity, and it is necessary to fuse heterogeneous knowledge from different data sources or different languages into a unified and consistent KG. Entity alignment aims to find equivalencedoi:10.1016/j.aiopen.2021.02.002 fatcat:mj2ens2perb5jn5koxdvjmryii