CoRGI: GNNs with Convolutional Residual Global Interactions for Lagrangian Simulation
Partial differential equations (PDEs) govern dynamical systems in hydrodynamics, where classical solvers face well-known difficulties with nonlinearity and computational cost. Lagrangian neural surrogates such as GNS and SEGNN learn directly from particle-based simulations, but local message passing alone is limited in...