A hierarchical, rotation-translation equivariant graph neural network forecasts vortex cluster and microswimmer collective motion with better long-time accuracy than fully connected baselines.
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Hierarchical equivariant graph neural networks for forecasting collective motion in vortex clusters and microswimmers
A hierarchical, rotation-translation equivariant graph neural network forecasts vortex cluster and microswimmer collective motion with better long-time accuracy than fully connected baselines.