What is geometric deep learning?

Geometric Deep Learning (GDL) is an emerging field that aims to generalize deep learning methods to non-Euclidean domains such as graphs, manifolds, and meshes. It involves adapting neural network architectures and operations to handle data with irregular structures and complex relationships. GDL is commonly used in areas like social network analysis, drug discovery, computer vision (3D shape analysis), and recommendation systems.