RAFT: Redundancy-Aware Input Filtering for Temporal Graph Neural Network Training.

arXiv:2610.24875v1 Announce Type: cross Abstract: Temporal graph neural networks (TGNNs) have shown strong performance on dynamic graph learning tasks by continuously updating node memories from evolving interactions (i.e., events) and leveraging these memorie