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GraphNorm: A Principled Approach to Accelerating
Graph Neural Network Training
Tianle Cai * 1 2 Shengjie Luo * 3 4 5 Keyulu Xu 6 Di He 7 Tie-Yan Liu 7 Liwei Wang 3 4
Abstract 2017). Empirically, GNNs have succeeded in a variety of
Normalization is known to help the optimization tasks such as computational chemistry (Stokes et al., 2020),
of deep neural networks. Curiously, different recommendation systems (Ying et al., 2 ...
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