IGNN: An improved graph neufral network with integrated attention and pre-message-passing for few-shot image classification
Fig 5
Visualization of node features on the MiniImageNet dataset.
The figure represents 5 different classes, with distinct colors corresponding to different classes. Circles represent the support set, and triangles represent the query set. (a) The distribution of different classes before classification; (b) The distribution after classification by GNN; (c) The distribution after classification by IGNN. Compared to GNN, the distribution of nodes with the same color in the support set and query set is more compact in IGNN, indicating better classification performance.