Distributed Matrix-Based Sampling for Graph Neural Network Training

Alok Tripathy, Katherine Yelick, Aydin Buluc

Graph Neural Networks (GNNs) offer a compact and computationally efficient way to learn embeddings and classifications on graph data. GNN models are frequently large, making distri…