FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training

Kezhao Huang, Haitian Jiang, Minjie Wang +7

A key performance bottleneck when training graph neural network (GNN) models on large, real-world graphs is loading node features onto a GPU. Due to limited GPU memory, expensive d…