Modulus Ahmed Body MeshGraphNet

Architecture

GNNs are well suited for challenging problems involving intricate graph structures, such as those encountered in physics, biology, and social networks. By leveraging the structure of graphs, GNNs are capable of learning and making predictions based on the relationships among nodes in a graph. MeshGraphNet architecture based on the work by Tobias et al, The pretrained model checkpoint comes from the Ahmed body example as described in this example.