Abstract: Graph Neural Networks (GNNs) are rapidly becoming essential tools in deep learning, but their effectiveness when applied to images is often limited by challenges in graph representation.

Abstract: Land cover (LC) classification remains challenging, even with advanced machine learning (ML) techniques. Pixel-wise convolutional neural networks (CNNs) are currently widely used for image ...