A cross-attention-based bipartite GNN predicts coupled nodal displacement increments and elemental thinning directly on their native mesh domains for sheet material forming.
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Cross-attention-based bipartite graph neural network for coupled nodal and elemental field prediction in large-deformation sheet material forming
A cross-attention-based bipartite GNN predicts coupled nodal displacement increments and elemental thinning directly on their native mesh domains for sheet material forming.