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What is Social Network Alignment via GNNs about?

This paper presents a novel method for social network alignment using bi-layer graph attention neural networks (Bi_GANA) to identify active user nodes across multiple social networks. By modeling user nodes based on structural information and multi-dimensional features, the proposed method enhances the accuracy of anchor link predictions through a bi-directional alignment strategy. Experimental results demonstrate that Bi_GANA outperforms existing alignment methods in terms of accuracy and F1 score on vario

Author

Genius Dots Team (GDTeam)

Language

EN