From the 1 of 2 linked papers with an AI index.
2 papers
cs.LG2026
Examining the Efficacy of Graph Neural Network Message-Passing in Regression Contexts
Keith G. Mills, Aedan J. DeFrates, Joong Ho Kim
The paper evaluates how different graph neural network message‑passing layers perform on scalar regression tasks, finding that deep convolutional GNNs like GEN generally outperform…
cs.LG2026
Model-Level GNN Explanations via Rule-to-Graph Readout for Logit Reconstruction
Shengyao Lu, Jiuding Yang, Aedan J. DeFrates +3
We propose a novel model-level GNN explanation framework that shifts the explanation target from class-wise rule extraction to rule-based logit reconstruction. Our method recasts t…