An Effective Universal Polynomial Basis for Spectral Graph Neural Networks

The author proposes UniBasis, a universal polynomial basis incorporating graph heterophily degrees, leading to the development of UniFilter. The approach aims to enhance graph analysis by capturing spectral characteristics effectively.