Model-Agnostic Augmentation for Accurate Graph Classification

Author:

Yoo Jaemin1,Shim Sooyeon1,Kang U1

Affiliation:

1. Seoul National University, Republic of Korea

Publisher

ACM

Reference57 articles.

1. Filippo Maria Bianchi Daniele Grattarola and Cesare Alippi. 2020. Spectral Clustering with Graph Neural Networks for Graph Pooling. In ICML. Filippo Maria Bianchi Daniele Grattarola and Cesare Alippi. 2020. Spectral Clustering with Graph Neural Networks for Graph Pooling. In ICML.

2. Comparing complexity classes

3. Deli Chen Yankai Lin Wei Li Peng Li Jie Zhou and Xu Sun. 2020. Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View. In AAAI. Deli Chen Yankai Lin Wei Li Peng Li Jie Zhou and Xu Sun. 2020. Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View. In AAAI.

4. Hanjun Dai Hui Li Tian Tian Xin Huang Lin Wang Jun Zhu and Le Song. 2018. Adversarial Attack on Graph Structured Data. In ICML. Hanjun Dai Hui Li Tian Tian Xin Huang Lin Wang Jun Zhu and Le Song. 2018. Adversarial Attack on Graph Structured Data. In ICML.

5. Terrance Devries and Graham W. Taylor. 2017. Improved Regularization of Convolutional Neural Networks with Cutout. CoRR abs/1708.04552(2017). arxiv:1708.04552 Terrance Devries and Graham W. Taylor. 2017. Improved Regularization of Convolutional Neural Networks with Cutout. CoRR abs/1708.04552(2017). arxiv:1708.04552

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