SGMNet is a framework proposed in a recent study that constructs scene graphs for test images and scene classes, and then matches these graphs to evaluate similarity scores for classification. By leveraging scene graph-based approaches, SGMNet has shown superior performance compared to previous state-of-the-art methods in scene classification tasks. This approach allows for more accurate and robust classification results, particularly in challenging few-shot learning scenarios.