FedFINFO: A General Full-Informativeness Federated Graph Learning from Open Cross-Domain Data
This work proposes a counterfactual multi-view framework to explicitly learn a structure masker for extracting consensus subgraphs and proposes a history-aware adaptive multi-channel aggregation mechanism to enable dynamic and personalized sharing driven by channel similarity while preventing collaborative oscillation.
Wan Zhang, Xiaoqian Jiang, Ye Wang et al.
· 0 citations