most citedFlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation

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cs.LG2025

GraphFedMIG: Tackling Class Imbalance in Federated Graph Learning via Mutual Information-Guided Generation

Xinrui Li, Qilin Fan, Tianfu Wang +3

Federated graph learning (FGL) enables multiple clients to collaboratively train powerful graph neural networks without sharing their private, decentralized graph data. Inherited f…