X-MeshGraphNet trains large physics-surrogate GNNs by partitioning graphs with halo regions, builds graphs from point clouds instead of meshes, and demonstrates scaling to 512 GPUs on car aerodynamics.
Learning to simulate complex physics with graph networks,
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X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation
X-MeshGraphNet trains large physics-surrogate GNNs by partitioning graphs with halo regions, builds graphs from point clouds instead of meshes, and demonstrates scaling to 512 GPUs on car aerodynamics.