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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Autors principals:	Yi Ru, Michael Gruninger, YangLiu Dou
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2025-03-01
Col·lecció:	Scientific Reports
Matèries:	Graph clustering Nonnegative matrix factorization Symmetric NMF Self-supervised NMF
Accés en línia:	https://doi.org/10.1038/s41598-025-92564-x
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