Abstract: Graph neural networks (GNNs) are capable of modeling graph data using various types of nodes and edges, and thus can be widely used in the fields of recommender systems and bioinformatics.

Abstract: Class imbalance in graph neural networks (GNNs) poses a significant challenge for node classification tasks, often resulting in poor performance on minority classes due to the ...