Groups
Message passing treats meshes and point clouds as graphs where nodes exchange information with neighbors to learn useful features.
Gauge equivariant networks are neural networks that respect local symmetries (gauges) on manifolds, such as how vectors rotate when you change the local reference frame on a surface.