7 citations · 7 across the 2 of their papers we have counts for
3 papers
cs.LG2022
Personalized Federated Learning With Graph
Fengwen Chen, Guodong Long, Zonghan Wu +2
Knowledge sharing and model personalization are two key components in the conceptual framework of personalized federated learning (PFL). Existing PFL methods focus on proposing new…
cs.LG2019★ 7 cited
DAGCN: Dual Attention Graph Convolutional Networks
Fengwen Chen, Shirui Pan, Jing Jiang +2
Graph convolutional networks (GCNs) have recently become one of the most powerful tools for graph analytics tasks in numerous applications, ranging from social networks and natural…
cs.LG2019
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu, Shirui Pan, Fengwen Chen +3
Deep learning has revolutionized many machine learning tasks in recent years, ranging from image classification and video processing to speech recognition and natural language unde…