ImGAGN:Imbalanced Network Embedding via Generative Adversarial Graph Networks

Liang Qu, Huaisheng Zhu, Ruiqi Zheng +2

Imbalanced classification on graphs is ubiquitous yet challenging in many real-world applications, such as fraudulent node detection. Recently, graph neural networks (GNNs) have sh…