论文笔记：Edge-Labeling Graph Neural Network for Few shot Learning
来源：paper, code，CVPR 2019, 韩国高等科技研究所&蒙特利尔大学 Abstract EGNN: edge-labeling graph neutral network 学习预测边的label，使得网络可以利用对于类内相似性和类间不相似性的直接连接状态的探索，通过迭代更新边的标签，使得聚类表示是可以进化的 适合在各种数量的类别之间迁移并且不需要重新训练 Introduction
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