HOPNet uses combinatorial complex topology plus a physics-inspired message schedule to learn rigid body collisions, reporting lower rollout error and better OOD generalization than graph-based baselines.
Bullet physics simulation
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Integrating Physics and Topology in Neural Networks for Learning Rigid Body Dynamics
HOPNet uses combinatorial complex topology plus a physics-inspired message schedule to learn rigid body collisions, reporting lower rollout error and better OOD generalization than graph-based baselines.