2026
AdS-GNN - a Conformally Equivariant Graph Neural Network
ICLR 2026poster
Conformal symmetries, i.e.\ coordinate transformations that preserve angles, play a key role in many fields, including physics, mathematics, computer vision and (geometric) machine learning. Here we build a neural network that is equivariant under general conformal transformations. To achieve this,…