Breaking Symmetry Bottlenecks in GNN Readouts

Mouad Talhi, Arne Wolf, Anthea Monod

Graph neural networks (GNNs) are widely used for learning on structured data, yet their ability to distinguish non-isomorphic graphs is fundamentally limited. These limitations are…