A physics-informed graph variational autoencoder jointly predicts modal frequencies, damping, and shapes from PSD data of trusses with uncertainty quantification and orthogonality constraints.
Resgraphnet: Graphsage with embedded residual module for prediction of global monthly mean temperature.Artificial Intelligence in Geosciences, 3:148–156, 2022
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A Physics-Aware Variational Graph Autoencoder for Joint Modal Identification with Uncertainty Quantification
A physics-informed graph variational autoencoder jointly predicts modal frequencies, damping, and shapes from PSD data of trusses with uncertainty quantification and orthogonality constraints.