Mitigating the Performance Sacrifice in DP-Satisfied Federated Settings through Graph Contrastive Learning

Haoran Yang, Xiangyu Zhao, Muyang Li +2

Currently, graph learning models are indispensable tools to help researchers explore graph-structured data. In academia, using sufficient training data to optimize a graph model on…