82 citations · 85 across the 3 of their papers we have counts for
3 papers
Neural Oscillators are Universal
Samuel Lanthaler, T. Konstantin Rusch, Siddhartha Mishra
Coupled oscillators are being increasingly used as the basis of machine learning (ML) architectures, for instance in sequence modeling, graph representation learning and in physica…
A Survey on Oversmoothing in Graph Neural Networks
T. Konstantin Rusch, Michael M. Bronstein, Siddhartha Mishra
Node features of graph neural networks (GNNs) tend to become more similar with the increase of the network depth. This effect is known as over-smoothing, which we axiomatically def…
Multi-Scale Message Passing Neural PDE Solvers
Léonard Equer, T. Konstantin Rusch, Siddhartha Mishra
We propose a novel multi-scale message passing neural network algorithm for learning the solutions of time-dependent PDEs. Our algorithm possesses both temporal and spatial multi-s…