2025
STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization
NeurIPS 2025poster
Spatio-Temporal Graph Neural Networks (STGNNs) have emerged as a powerful tool for modeling dynamic graph-structured data across diverse domains. However, they often fail to generalize in Spatio-Temporal Out-of-Distribution (STOOD) scenarios, where both temporal dynamics and spatial structures evolv…