Robust self supervised symmetric nonnegative matrix factorization to the graph clustering

Abstract Graph clustering is a fundamental task in network analysis, aimed at uncovering meaningful groups of nodes based on structural and attribute-based similarities. Traditional Nonnegative Matrix Factorization (NMF) methods have shown promise in clustering tasks by providing low-dimensional rep...

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Hlavní autoři:	Yi Ru, Michael Gruninger, YangLiu Dou
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2025-03-01
Edice:	Scientific Reports
Témata:	Graph clustering Nonnegative matrix factorization Symmetric NMF Self-supervised NMF
On-line přístup:	https://doi.org/10.1038/s41598-025-92564-x
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