Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks

2 code implementations • 26 Mar 2020 • Muhammet Balcilar, Guillaume Renton, Pierre Heroux, Benoit Gauzere, Sebastien Adam, Paul Honeine

Moreover, the proposed framework is used to design new convolutions in spectral domain with a custom frequency profile while applying them in the spatial domain.

Graph Classification Graph Learning +1