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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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Nature Portfolio
2025-03-01
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| Colección: | Scientific Reports |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1038/s41598-025-92564-x |
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