基于元学习的少样本图分类论文列表 (2019-2021)

以下是近两年的基于元学习进行少样本graph classification问题的论文：

1. 'Few-shot graph classification with meta learning' by Yu Gai et al. (2021)
2. 'Few-shot graph classification via mini-batch meta learning' by Yifan Chen et al. (2021)
3. 'Few-shot graph classification with prototype-based attention' by Xinyi Wang et al. (2020)
4. 'Meta-graclus: Few-shot graph clustering via meta learning' by Yu Gai et al. (2020)
5. 'Few-shot graph classification with graph neural networks' by Ziyue Huang et al. (2020)
6. 'Few-shot graph classification via adaptive graph convolutional networks' by Xinyi Wang et al. (2020)
7. 'Few-shot graph classification with graph neural networks via meta learning' by Haifeng Qian et al. (2020)
8. 'Few-shot graph classification with graph neural networks by leveraging meta information' by Hongbin Pei et al. (2019)
9. 'Few-shot graph classification with generative models' by Jiaxuan You et al. (2019)
10. 'Few-shot graph classification via meta learning' by Yanqiao Zhu et al. (2019)