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Joukowski spectral lifting

topic1 events
papersTODAY 04:00 UTC

LiftGCN applies Joukowski spectral lifting to finite element stress prediction

Researchers introduce LiftGCN, a graph learning method designed to predict finite element stress fields that contain sharp gradients near holes, notches and load points. The approach uses a Joukowski spectral lifting transform to preserve energy and retain high-frequency graph components that standard graph neural networks tend to smooth away. The work is posted as an arXiv preprint in computer science categories.

graph-neural-networks/finite-element/research/spectral-methods