We propose a Koopman operator-based surrogate model for propagating parameter uncertainties in power system nonlinear dynamic simulations. First, we augment a priori known state-space model by ...

In this paper, we address the problem of link prediction (LP) in Graph Neural Networks (GNNs) by learning approximated diffusion distances. Since diffusion distances have a spectral interpretation, we ...