Martin Berzins

Monotone Operator Theory-Inspired Message Passing for Learning Long-Range Interaction on Graphs

Learning long-range interactions (LRI) between distant nodes is crucial for many graph learning tasks. Predominant graph neural networks (GNNs) rely on local message passing and struggle to learn LRI. In this paper, we propose DRGNN to learn LRI leveraging monotone operator theory. DRGNN contains tw…