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Shu-Guang Wu

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#machine learning Preprint Sep 2026

Spectral Graph Neural Networks with Hermite Polynomials: A Comprehensive Study

The analysis and experiments clarify when Hermite propagation is useful and how calibration and regularization affect its performance, and identify a regime in which plain HermNet outperforms matched polynomial-basis alternatives, including with a jointly trained nonlinear predictor.

Shu-Guang Wu · 0 citations