Neighbor-Sampling Based Momentum Stochastic Methods for Training Graph Neural Networks

Molly Noel, Gabriel Mancino-Ball, Yangyang Xu

Graph convolutional networks (GCNs) are a powerful tool for graph representation learning. Due to the recursive neighborhood aggregations employed by GCNs, efficient training metho…