Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited

Mingguo He, Zhewei Wei, Ji-Rong Wen

Designing spectral convolutional networks is a challenging problem in graph learning. ChebNet, one of the early attempts, approximates the spectral graph convolutions using Chebysh…