A modified graph convolutional isomorphism network predicts polynomial coefficients for a sparse pseudo-inverse AMG smoother, cutting V-cycles and delivering 4-37% wall-clock speedups while generalizing to larger and unseen meshes.
Performance and accuracy assessments of an incompressible fluid solver coupled with a deep convolutional neural network , volume =
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Acceleration of an algebraic multigrid pressure solver using graph neural networks
A modified graph convolutional isomorphism network predicts polynomial coefficients for a sparse pseudo-inverse AMG smoother, cutting V-cycles and delivering 4-37% wall-clock speedups while generalizing to larger and unseen meshes.