Adaptive Spatiotemporal Augmentation for Improving Dynamic Graph Learning

Xu Chu, Hanlin Xue, Bingce Wang +5

Dynamic graph augmentation is used to improve the performance of dynamic GNNs. Most methods assume temporal locality, meaning that recent edges are more influential than earlier ed…