arXiv cs.LG
· Papers
Convex–Concave Quadratic Spectral Filtering for Graph Neural Networks
arXiv:2606.24956v1 Announce Type: new Abstract: Spectral graph neural networks (GNNs) interpret message passing as frequency-selective filtering. While low-order spectral filters are efficient, their limited selectivity often leads to weak attenuation outside the passband, whereas high-order alternatives introduce opti