Hyperspectral image classification methods based on graph convolution network have received extensive attention. However, the traditional distance metric is difficult to fully represent the spectral ...

Graph neural networks (GNNs) encounter significant computational challenges when handling large-scale graphs, which severely restricts their efficacy across diverse applications. To address this ...