Martin Schmidt

Stability of Flow Models for Graph Signals

Martin Schmidt, Gonzalo Mateos

Generating signals on graphs requires permutation-equivariant models that exhibit stability with respect to relative structural perturbations. While favorable stability properties of Graph Neural Networks (GNNs) have been well documented, it is unclear how structural errors propa…Read more