Luiz F. O. Chamon

Transferability Properties of Graph Neural Networks

2021 · arXiv (Cornell University)

Graph neural networks (GNNs) are composed of layers consisting of graph convolutions and pointwise nonlinearities. Due to their invariance and stability properties, GNNs are provably successful at learning representations from data supported on moderate-scale graphs. …