G-PARC: Graph-Physics Aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics on Unstructured Meshes

Develop a lightweight GNN framework for handling spatiotemporal dynamics on unstructured meshes. This is critical for scientific computing tasks where Cartesian grids fail.

Suggested repo: MeshNet

"Neural network performance that understands non-Cartesian physics."

Estimated effort: 70h