Abstract: Class imbalance significantly hampers recognition accuracy in image classification, which is particularly prevalent in special field datasets. Traditional methodologies addressing imbalance, ...

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.