Training Robust Graph Neural Networks by Modeling Noise Dependencies

Yeonjun In, Kanghoon Yoon, Sukwon Yun +3

In real-world applications, node features in graphs often contain noise from various sources, leading to significant performance degradation in GNNs. Although several methods have…