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Neighbour-level message interaction encoding for improved representation learning on graphs

delete2025-11-14
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PRE
AI
H
Haimin Zhang
M
Min Xu *
DOI：10.1016/j.asoc.2025.114221delete
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Abstract

Abstract

En 中文
• This paper introduces message interaction encoding for learning over graphs. • This method addresses the issue of information loss in node embedding. • It is general method that can be integrated into different graph neural networks. • It improves the performance on different datasets on different graph tasks.

Journal

Applied Soft Computing cover
Applied Soft Computing
IF:
6.6
Papers:
1.4W
Citations:
4.8W

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No organization information available