Author

Yue-Zhen Dai

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Preprint Oct 2026

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...

Yue-Zhen Dai, Sarah Zhou, You-Tao Zhang · 0 citations

#machine learning Preprint Oct 2026

A Dependency-Aware Multi-GPU Training Framework for Temporal Graph Neural Networks

Temporal graph neural networks (TGNNs) achieve superior performance in many dynamic graph learning tasks. These models use node state vectors (i.e., memories) to capture and record graph changes (i.e., events), and then exploit these memories to assist prediction. However, this memory-centric design makes multi-GPU tra...

Yang Zhao, Yue-Zhen Dai, Liang Qiao et al. · 0 citations