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

2 citations · 3 across the 5 of their papers we have counts for

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cs.LG2023

NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams

Chaoyi Chen, Dechao Gao, Yanfeng Zhang +6

Existing Graph Neural Network (GNN) training frameworks have been designed to help developers easily create performant GNN implementations. However, most existing GNN frameworks as…

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…