[2018][ICLR]FEW-SHOT LEARNING WITH GRAPH NEURAL NETWORKS 论文笔记
code https://github.com/vgsatorras/few-shot-gnn.git paper https://arxiv.org/pdf/1711.04043.pdf 论文的原理可以直接看论文或者博客，这里主要记录论文中一些含糊的细节 setting 分为 few-shot setting，semi-supervised setting 和 active learn
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相关文章
- 1. SuperGlue: Learning Feature Matching with Graph Neural Networks 2019 论文笔记
- 2. 论文阅读笔记《Few-Shot Learning with Graph Neural Networks》
- 3. FEW-SHOT LEARNING WITH GRAPH NEURAL NETWORKS 论文笔记
- 4. 【论文笔记】Learning Multi-view Camera Relocalization with Graph Neural Networks（CVPR2020）
- 5. GRNet: Learning Multi-view Camera Relocalization with Graph Neural Networks CVPR 2020 论文笔记
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- 8. 论文笔记《Neural Architecture Search With Reinforcement Learning》
- 9. 【论文笔记】NEURAL COMBINATORIAL OPTIMIZATION WITH REINFORCEMENT LEARNING
- 10. FEW-SHOT LEARNING WITH GRAPH NEURAL NETWORK