Graph-LED
Learning Effective Dynamics across Spatio-Temporal Scales of Complex Flows
Paper title Learning Effective Dynamics across Spatio-Temporal Scales of Complex Flows
Paper arXiv 2502.07990PDF
A graph neural network encoder reduces a flow field on an unstructured mesh to values on a smaller set of points, an autoregressive temporal attention model advances that reduced state, and a GNN decoder returns the field on the original mesh.
- Published
- CPAL
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