“Remote sensing technology is developing rapidly, and hyperspectral images have become a key data source. Deep learning pattern recognition algorithms are constantly breaking through, and graph neural networks are widely used in hyperspectral remote sensing image interpretation, mining relationships between samples and generating high-precision classification results. Experts analyze graph neural network methods from the perspectives of graph connections, graph nodes, and network models, providing direction and ideas for research in the field of remote sensing.”