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Joong Ho Kim

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Jul 2026

Examining the Efficacy of Graph Neural Network Message-Passing in Regression Contexts

Study of the efficacy of GNN layers in a slew of regression contexts from rank ordering, error minimization and insight extraction shows that deep convolutional GNNs, particularly GEN, are more effective at these tasks than attention-based GNNs, while other classical, theoretically-inspired GNNs remain competitive and efficient.

Keith G. Mills, Aedan J. DeFrates, Joong Ho Kim · arXiv.org · 0 citations