SO(3)-equivariant neural network
An SO(3)-equivariant neural network is a type of neural network architecture designed to maintain equivariance with respect to the special orthogonal group SO(3), which corresponds to three-dimensional rotations. These networks are used primarily in tasks involving 3D data where rotational symmetry is important, such as molecular modeling, computer vision, and physics simulations.