2024
Unifying Homophily and Heterophily for Spectral Graph Neural Networks via Triple Filter Ensembles
NeurIPS 2024poster
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…