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Ying-Jie Qi

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#machine learning Preprint Sep 2026

MegaGraph: Towards Efficient Training of Large-Scale Graph Transformers with Automated Hybrid Parallelism

Evaluations demonstrate that MegaGraph enables training on large-scale graphs where state-of-the-art baselines fail due to out-of-memory (OOM) errors, and achieves up to 4.51 times training speedup while maintaining model accuracy.

Tong Qiao, Ao Zhou, Ying-Jie Qi et al. · 0 citations