[2018][ICLR]FEW-SHOT LEARNING WITH GRAPH NEURAL NETWORKS 論文筆記
code https://github.com/vgsatorras/few-shot-gnn.git paper https://arxiv.org/pdf/1711.04043.pdf 論文的原理可以直接看論文或者博客，這裏主要記錄論文中一些含糊的細節 setting 分爲 few-shot setting，semi-supervised setting 和 active learn
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相關文章
- 1. SuperGlue: Learning Feature Matching with Graph Neural Networks 2019 論文筆記
- 2. 論文閱讀筆記《Few-Shot Learning with Graph Neural Networks》
- 3. FEW-SHOT LEARNING WITH GRAPH NEURAL NETWORKS 論文筆記
- 4. 【論文筆記】Learning Multi-view Camera Relocalization with Graph Neural Networks（CVPR2020）
- 5. GRNet: Learning Multi-view Camera Relocalization with Graph Neural Networks CVPR 2020 論文筆記
- 6. Few-Shot Learning with Graph Neural Networks筆記
- 7. 論文筆記——NEURAL ARCHITECTURE SEARCH WITH REINFORCEMENT LEARNING
- 8. 論文筆記《Neural Architecture Search With Reinforcement Learning》
- 9. 【論文筆記】NEURAL COMBINATORIAL OPTIMIZATION WITH REINFORCEMENT LEARNING
- 10. FEW-SHOT LEARNING WITH GRAPH NEURAL NETWORK