Rethinking Fair Graph Neural Networks from Re-balancing

Zhixun Li, Yushun Dong, Qiang Liu +1

Driven by the powerful representation ability of Graph Neural Networks (GNNs), plentiful GNN models have been widely deployed in many real-world applications. Nevertheless, due to…