Efficient model-order reduction via graph autoencoders and operator learning for systems with sharp gradients using a novel point cloud error metric for performance assessment

Liam K Magargal, Parisa Khodabakhshi

This study investigates the use of graph autoencoders, a class of graph neural networks (GNNs), to perform model-order reduction (MOR) on high-dimensional systems characterized by…