Learnable Convolutional Attention Network for Unsupervised Knowledge Graph Entity Alignment

The success of current entity alignment (EA) tasks largely depends on the supervision information provided by labeled data. Considering the cost of labeled data, most supervised methods are challenging to apply in practical scenarios. Therefore, an increasing number of works based on contrastive lea...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Weishan Cai, Wenjun Ma
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2025-09-01
Schriftenreihe:	Entropy
Schlagworte:	entity alignment Knowledge Graphs contrastive learning learnable convolutional network unsupervised learning
Online-Zugang:	https://www.mdpi.com/1099-4300/27/9/924
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