1 code implementation • 2 Mar 2022 • Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang
We propose a novel structured federated learning (SFL) framework to learn both the global and personalized models simultaneously using client-wise relation graphs and clients' private data.
1 code implementation • 4 Apr 2019 • Fengwen Chen, Shirui Pan, Jing Jiang, Huan Huo, Guodong Long
In this paper, we propose a novel framework called, dual attention graph convolutional networks (DAGCN) to address these problems.
Ranked #25 on Graph Classification on NCI1
5 code implementations • 3 Jan 2019 • Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, Philip S. Yu
In this survey, we provide a comprehensive overview of graph neural networks (GNNs) in data mining and machine learning fields.