近两年基于元学习进行少样本graph classification问题的论文

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