Chuyao Liu

GIER: Addressing Class Imbalance in GNNs Through Experience Replay

The prevalent class imbalance in real-world graphs significantly affects the performance of Graph Neural Networks (GNNs). Existing methods for analyzing graph imbalance ignore the influence of minority nodes during the dynamic model training process, resulting in performance limitations. In this pap