MeshGraphNets (learning mesh-based simulations)
MeshGraphNets are a class of machine learning models designed to simulate physical systems by leveraging graph neural networks on mesh-based data representations. They enable efficient and accurate prediction of complex physical phenomena by learning from simulation data structured as meshes.