Invariant Subgraph Learning via Effective Environment Subgraph Augmentation for Generalizable Graph Neural Network
With the increasing prevalence of graph data in various practical applications, Graph Neural Networks (GNNs) have established themselves as essential tools for effective graph data processing. However, existing GNNs always perform well on in-distribution data, but exhibit significant performance degradation under distr...