Mitigating Degree Bias Adaptively with Hard-to-Learn Nodes in Graph Contrastive Learning

Jingyu Hu, Hongbo Bo, Jun Hong +2

Graph Neural Networks (GNNs) often suffer from degree bias in node classification tasks, where prediction performance varies across nodes with different degrees. Several approaches…