CAttBiGNN is a bipartite GNN with edge-aware cross attention that predicts coupled nodal displacements and elemental thinning for autoregressive rollout of explicit dynamic FE simulations on dome and corner forming benchmarks, outperforming node-centered baselines.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CE 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
No citing papers match the current filters.