I'm reading about Graph Neural Networks and I would like to understand more about first-order and second-order approximations of spectral graph convolution.
What is a Spectral Graph Convolution?
What does a first-order (second-order) approximation of a spectral graph convolution mean? Please, some examples are appreciated.