Spherical CNN
A Spherical CNN is a type of convolutional neural network designed to process data on spherical domains, enabling effective learning from spherical signals such as those found in 3D vision, climate modeling, and astrophysics.
geometric deep learning
E(n)-equivariant graph neural network
E(n)-equivariant graph neural networks are a class of neural network architectures designed to process graph-structured data while preserving equivariance under the Euclidean group E(n), which includes rotations, translations, and reflections in n-dimensional space. These models are particularly important in applications involving geometric data, such as molecular modeling and physical simulations.
Geometric deep learning
Geometric deep learning is an emerging field of machine learning that generalizes deep learning techniques to non-Euclidean domains such as graphs and manifolds. It integrates geometric and topological principles to improve the representation and analysis of complex structured data.