Persistent Gaussian Perturbations Prevent Oversmoothing in Recurrent Graph Neural Networks

Oversmoothing is a fundamental limitation of deep graph neural networks (GNNs), where repeated message passing causes node representations to become increasingly similar, eventually collapsing toward a low-dimensional subspace. This phenomenon limits the effective depth of message-passing architectu...