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Efficient and Effective Unsupervised Entity Alignment in Large Knowledge Graphs

Entity Alignment (EA) in Knowledge Graphs (KGs) is a crucial task for the integration of multiple KGs, facilitating the amalgamation of multi-source knowledge and enhancing support for downstream applications. In recent years, unsupervised EA methods have demonstrated remarkable efficacy in leveragi...

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Principais autores: Weishan Cai, Ruqi Zhou, Wenjun Ma
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-02-01
Serier:Applied Sciences
Fag:
entity alignment
knowledge graphs
multi-hop learning
unsupervised learning
contrastive learning
Online adgang:https://www.mdpi.com/2076-3417/15/4/1976
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