3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
Contrastive Continual Multi-view Clustering with Filtered Structural Fusion
Xinhang Wan, Jiyuan Liu, Hao Yu +5
Multi-view clustering thrives in applications where views are collected in advance by extracting consistent and complementary information among views. However, it overlooks scenari…
cs.LG2022★ 3 cited
GraphLearner: Graph Node Clustering with Fully Learnable Augmentation
Xihong Yang, Erxue Min, Ke Liang +6
Contrastive deep graph clustering (CDGC) leverages the power of contrastive learning to group nodes into different clusters. The quality of contrastive samples is crucial for achie…