Hung Chun Hsu

FincGAN: A Gan Framework of Imbalanced Node Classification on Heterogeneous Graph Neural Network

Graph Neural Networks (GNNs) frequently face class imbalance issues, especially in heterogeneous graphs. Existing GNNs often assume balanced class sizes, which isn’t true in many cases. Applying them directly to imbalanced data can lead to sub-optimal performance. Traditional oversampling methods, w…