Graph neural networks (GNNs) have shown great promise in few-shot learning. where they typically represent the entire feature of a sample as a node. However. this approach can overlook finer details within the sample. https://www.jmannino.com/best-catch-Sophie-Allport-Bee-Blackout-Ready-Made-Eyelet-Curtains-Duck-Egg-special-save/