Umit Catalyurek

Layer-Neighbor Sampling --- Defusing Neighborhood Explosion in GNNs

Graph Neural Networks (GNNs) have received significant attention recently, but training them at a large scale remains a challenge. Mini-batch training coupled with sampling is used to alleviate this challenge. However, existing approaches either suffer from the neighborhood explosion phenomenon or h…