Quasi-Framelets: Another Improvement to GraphNeural Networks. (arXiv:2201.04728v1 [cs.LG])

This paper aims to provide a novel design of a multiscale framelets
convolution for spectral graph neural networks. In the spectral paradigm,
spectral GNNs improve graph learning task performance via proposing various
spectral filters in spectral domain to capture both global and local graph
structure information. Although the existing spectral approaches show superior
performance in some graphs, they suffer from lack of flexibility and being
fragile when graph information are incomplete or perturbated. Our new framelets
convolution incorporates the filtering …

arxiv improvement networks