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...
में बचाया:
| मुख्य लेखकों: | , , |
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| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
Nature Portfolio
2025-03-01
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| श्रृंखला: | Scientific Reports |
| विषय: | |
| ऑनलाइन पहुंच: | https://doi.org/10.1038/s41598-025-92564-x |
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