How Much Does Message Passing Matter? A Drop-In Study of GNN Layers for Neural Network Graph Regression

Keith G. Mills, Aedan J. DeFrates, Joong Ho Kim

Graph Neural Networks (GNNs) are widely used as regressors, for example to predict the accuracy of a neural architecture. Yet new message-passing (MP) layers are developed and benc…