Towards OOD Generalization in Dynamic Graphs via Causal Invariant Learning

Xinxun Zhang, Pengfei Jiao, Mengzhou Gao +2

Although dynamic graph neural networks (DyGNNs) have demonstrated promising capabilities, most existing methods ignore out-of-distribution (OOD) shifts that commonly exist in dynam…