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20232026
most citedNeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments

2 citations · 3 across the 7 of their papers we have counts for

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cs.DC2023★ 2 cited

NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments

Xin Ai, Qiange Wang, Chunyu Cao +5

Graph Neural Networks (GNNs) have demonstrated outstanding performance in various applications. Existing frameworks utilize CPU-GPU heterogeneous environments to train GNN models a…

cs.LG2023★ 1 cited

Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective

Hao Yuan, Yajiong Liu, Yanfeng Zhang +5

Many Graph Neural Network (GNN) training systems have emerged recently to support efficient GNN training. Since GNNs embody complex data dependencies between training samples, the…