Kavli Affiliate: Xiang Zhang | First 5 Authors: Tianxiang Zhao, Xiang Zhang, Suhang Wang, , | Summary: In recent years, graph neural networks (GNNs) have achieved state-of-the-art performance for node classification. However, most existing GNNs would suffer from the graph imbalance problem. In many real-world scenarios, node classes are imbalanced, with some majority classes making […]
Continue.. Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks