Multi-Attractor GNNs: Set-Valued Expressivity Beyond Unique Equilibria.

arXiv:2609.35274v1 Announce Type: cross Abstract: Recurrent and equilibrium graph neural networks (GNNs) often enforce a unique fixed point or use one training target per graph. Yet many combinatorial and scientific problems admit multiple valid solutions, wit