Huaming Wu

Real-positive-neighbors guide Contrastive Graph Clustering Network

2025

The rapid advancement of deep learning has introduced promising techniques for attribute graph clustering. However, existing deep attributed graph clustering methods face two key limitations: (1) insufficient exploration of multi-scale neighborhood structural information during training, …

FedCCH: Automatic Personalized Graph Federated Learning for Inter-Client and Intra-Client Heterogeneity

2025

Graph federated learning (GFL) is increasingly utilized in domains such as social network analysis and recommendation systems, where non-IID data exist extensively and necessitate a strong emphasis on personalized learning. However, existing methods focus only …