Samuel Fernandez

L2G-NET: Local to Global Spectral Graph Neural Networks via Cauchy Factorizations

Despite their theoretical advantages, spectral methods based on the graph Fourier transform (GFT) are seldom used in graph neural networks (GNNs) due to the cost of computing the eigenbasis and the lack of vertex-domain locality in spectral representations. As a result, most GNNs rely on local appro…