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Learning mesh-based simulation with Graph Networks Another work by DeepMind (ICLR '21) on how to simulate physical systems with GNN. The principle is the same as in their previous works: get a graph for a system, process it with GNN, obtain acceleration for each node, and provide it to Euler integrator to obtain positions of each node in the next step. Again, very cool visualizations.