You-Tao Zhang

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

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 memories for downstream predictions. As graphs grow rapidly in modern applications, training requires processing an i...