We develop an architecture, EddyFormer, to accelerate the resolution of three-dimensional turbulent fluid flows.

We use Laplacian representation to improve exploration for reinforcement learning agents.

A novel graph coarsening method that focuses on preserving the inner products between node features and demonstrates superior performance on graph coarsening benchmarks.