most citedA Comprehensive Survey on Distributed Training of Graph Neural Networks

4 citations · 4 across the 3 of their papers we have counts for

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cs.DC2022★ 4 cited

A Comprehensive Survey on Distributed Training of Graph Neural Networks

Haiyang Lin, Mingyu Yan, Xiaochun Ye +4

Graph neural networks (GNNs) have been demonstrated to be a powerful algorithmic model in broad application fields for their effectiveness in learning over graphs. To scale GNN tra…

cs.DC2022

Characterizing and Understanding Distributed GNN Training on GPUs

Haiyang Lin, Mingyu Yan, Xiaocheng Yang +4

Graph neural network (GNN) has been demonstrated to be a powerful model in many domains for its effectiveness in learning over graphs. To scale GNN training for large graphs, a wid…