3 citations · 5 across the 4 of their papers we have counts for
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cs.SI2023★ 2 cited
CueGCL: Cluster-aware Personalized Self-Training for Unsupervised Graph Contrastive Learning
Yuecheng Li, Lele Fu, Sheng Huang +3
Recently, graph contrastive learning (GCL) has emerged as one of the optimal solutions for node-level and supervised tasks. However, for structure-related and unsupervised tasks su…
cs.LG2023
Contrastive Deep Nonnegative Matrix Factorization for Community Detection
Yuecheng Li, Jialong Chen, Chuan Chen +2
Recently, nonnegative matrix factorization (NMF) has been widely adopted for community detection, because of its better interpretability. However, the existing NMF-based methods ha…