Learning to Simulate Complex Physics with Graph Networks

https://arxiv.org/abs/2002.09405

GNS: particles as graph nodes with learned message passing for fluids, rigid solids, deformables; trained on one-step targets, generalizes to thousands of steps and 10x more particles; training noise limits drift.

Graph network simulators and neural operators