Contrastive Deep Nonnegative Matrix Factorization for Community Detection

arXiv:2311.02357v2 Announce Type: replace
Abstract: Recently, nonnegative matrix factorization (NMF) has been widely adopted for community detection, because of its better interpretability. However, the existing NMF-based methods have the following three problems: 1) they directly transform the original network into community membership space, so it is difficult for them to capture the hierarchical information; 2) they often only pay attention to the topology of the network and ignore its node attributes; 3) it is hard for them to learn the …

arxiv community cs.ai cs.lg cs.si detection factorization matrix type