Graph-Reprsentation Learning

Distributed Matrix-Based Sampling for Graph Neural Network Training

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 distributed minibatch training necessary. The primary contribution of this …