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How Much Does Message Passing Matter? A Drop-In Study of GNN Layers for Neural Network Graph Regression
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 benchmarked almost exclusively on classification tasks, and regression pipelines typically adopt a single MP layer without a
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