2024
Prometheus: Out-of-distribution Fluid Dynamics Modeling with Disentangled Graph ODE
ICML 2024poster
Fluid dynamics modeling has received extensive attention in the machine learning community. Although numerous graph neural network (GNN) approaches have been proposed for this problem, the problem of out-of-distribution (OOD) generalization remains underexplored. In this work, we propose a new large…