7 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
Homophily-enhanced Structure Learning for Graph Clustering
Ming Gu, Gaoming Yang, Sheng Zhou +5
Graph clustering is a fundamental task in graph analysis, and recent advances in utilizing graph neural networks (GNNs) have shown impressive results. Despite the success of existi…
cs.IR2001★ 7 cited
Bipartite graph partitioning and data clustering
H. Zha, X. He, C. Ding +2
Many data types arising from data mining applications can be modeled as bipartite graphs, examples include terms and documents in a text corpus, customers and purchasing items in m…