A graph neural network predicts eigenvalues 2-50 of the Laplace-Beltrami operator on mechanical CAD meshes about 5 times faster than FEM and is claimed accurate on 99.3% of held-out parts.
Laplace–beltrami spectra as ‘shape-dna’ of surfaces and solids,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
An AI Approach for Learning the Spectrum of the Laplace-Beltrami Operator
A graph neural network predicts eigenvalues 2-50 of the Laplace-Beltrami operator on mechanical CAD meshes about 5 times faster than FEM and is claimed accurate on 99.3% of held-out parts.