Various Image Datasets

该数据集进行了图像处理实验，其中每张图像被视为一个图结构，图像中的像素点作为节点，相邻像素点之间则形成边。该数据集包含的图像均以图的形式处理，旨在评估LON-GNN模型的性能，与基准模型相比，该模型显示出了一定的改进。实验中使用了50张图像，任务则是利用光谱图神经网络进行节点级别的任务处理。

This dataset is employed for image processing experiments, where each image is formulated as a graph structure, with pixels in the image serving as nodes and edges formed between adjacent pixels. All images within this dataset are processed in graph form, aiming to evaluate the performance of the LON-GNN model, which has exhibited certain improvements compared to baseline models. A total of 50 images were utilized in the experiments, and the task involves conducting node-level task processing using spectral graph neural networks.