Sampling Before Training: Rethinking the Effect of Edges in the Process of Training Graph Neural Networks

no code implementations • 29 Sep 2021 • Hengyuan Ma, Qi Yang, Bowen Sun, Long Shun, Junkui Li, Jianfeng Feng

Graph neural networks (GNN) demonstrate excellent performance on many graph-based tasks; however, they also impose a heavy computational burden when trained on a large-scale graph.