FSL-GNN论文笔记

FSL-GNN

Abstract:

The first paper to use GNN handle the few-shot classification.

Contributions:

• Using GNN to handle few-shot classification as a supervised message passing task.

• Matching state-of-the-art performance on Omniglot and Mini-Imagenet tasks with fewer parameters.

• They extend the model in the semi-supervised and active learning regimes.