GITO, a graph-informed transformer operator, reports lower relative L2 errors than existing transformer-based neural operators on Navier-Stokes, heat conduction, and airfoil benchmark datasets.
Prediction of aerodynamic flow fields using convolutional neural networks.Computational Mechanics, 64:525–545, 2019
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GITO: Graph-Informed Transformer Operator for Learning Complex Partial Differential Equations
GITO, a graph-informed transformer operator, reports lower relative L2 errors than existing transformer-based neural operators on Navier-Stokes, heat conduction, and airfoil benchmark datasets.