Author

Ling Wang

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Open access Jul 2026

Constrained deep nonnegative matrix factorization with graph convolutional networks for unsupervised community detection

GCNCDNMF, a framework that integrates graph convolutional networks (GCNs) with a constrained deep nonnegative matrix factorization (CDNMF) module, which consistently outperforms state-of-the-art methods in accuracy, normalized mutual information, and adjusted Rand index.

Shunli Li, Ling Wang, Mingjun Bai · Journal of King Saud Univers... · 0 citations