Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining

Tim Kaler, Nickolas Stathas, Anne Ouyang +4

Improving the training and inference performance of graph neural networks (GNNs) is faced with a challenge uncommon in general neural networks: creating mini-batches requires a lot…