Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective

Kai Guo, Hongzhi Wen, Wei Jin +3

Graph neural networks (GNNs) have exhibited remarkable performance under the assumption that test data comes from the same distribution of training data. However, in real-world sce…