1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
GCL-GCN: Graphormer and Contrastive Learning Enhanced Attributed Graph Clustering Network
Binxiong Li, Xu Xiang, Xue Li +5
Attributed graph clustering holds significant importance in modern data analysis. However, due to the complexity of graph data and the heterogeneity of node attributes, leveraging…
cs.LG2025★ 1 cited
Attributed Graph Clustering with Multi-Scale Weight-Based Pairwise Coarsening and Contrastive Learning
Binxiong Li, Yuefei Wang, Binyu Zhao +7
This study introduces the Multi-Scale Weight-Based Pairwise Coarsening and Contrastive Learning (MPCCL) model, a novel approach for attributed graph clustering that effectively bri…