X-MeshGraphNet
MeshGraphNet split into partitions with halos
Paper title X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation
Paper arXiv 2411.17164PDF
Builds the graph from points sampled on the STL (k nearest neighbours) instead of the simulation mesh, stacks coarse-to-fine point clouds for long-range messages, and cuts the graph into partitions with halo regions, aggregating gradients so training on partitions equals training on the whole graph.
- Data
- DrivAerML
Share on LinkedIn, X or Bluesky, or or .
Know related work that belongs here? Suggest a link
Something wrong on this page? Tell the editor