A hybrid graph-neural method for domain decomposition

摘要

A hybrid method is presented for domain decomposition employing a graph theoretical algorithm and a neural network optimization model. The method uses graph theory and neural networks for decomposition of structured finite element meshes. Examples are presented to illustrate the efficiency of the developed method.