Mingjian Guang

Unifying Homophily and Heterophily for Spectral Graph Neural Networks via Triple Filter Ensembles

Polynomial-based learnable spectral graph neural networks (GNNs) utilize polynomial to approximate graph convolutions and have achieved impressive performance on graphs. Nevertheless, there are three progressive problems to be solved. Some models use polynomials with better approximation for approxi…