Abstract: This paper proposes an innovative optimization framework, Dynamic Graph Neural Evolution (DGNE), integrating Graph Neural Networks (GNNs) with Evolutionary Algorithms (EAs). Building on the ...
Abstract: We have previously proposed a formation analysis method using multi-layer graph convolutional neural networks with geometric formation features as input. In addition, this analysis method ...