Graph Structure Learning for Robust Graph Neural Networks

Author:

Jin Wei1,Ma Yao1,Liu Xiaorui1,Tang Xianfeng2,Wang Suhang2,Tang Jiliang1

Affiliation:

1. Michigan State University, East Lansing, MI, USA

2. The Pennsylvania State University, State College, PA, USA

Funder

National Science Foundation

Publisher

ACM

Reference41 articles.

1. Rie K Ando and Tong Zhang. 2007. Learning on graph with Laplacian regularization. In NeurIPS. Rie K Ando and Tong Zhang. 2007. Learning on graph with Laplacian regularization. In NeurIPS.

2. James Atwood and Don Towsley. 2016. Diffusion-convolutional neural networks. In NeurIPS. James Atwood and Don Towsley. 2016. Diffusion-convolutional neural networks. In NeurIPS.

3. Peter W Battaglia Jessica B Hamrick Victor Bapst Alvaro Sanchez-Gonzalez Vinicius Zambaldi Mateusz Malinowski Andrea Tacchetti David Raposo Adam Santoro Ryan Faulkner etal 2018. Relational inductive biases deep learning and graph networks. arXiv preprint arXiv:1806.01261 (2018). Peter W Battaglia Jessica B Hamrick Victor Bapst Alvaro Sanchez-Gonzalez Vinicius Zambaldi Mateusz Malinowski Andrea Tacchetti David Raposo Adam Santoro Ryan Faulkner et al. 2018. Relational inductive biases deep learning and graph networks. arXiv preprint arXiv:1806.01261 (2018).

4. SIAM journal on imaging sciences;Beck Amir,2009

5. Aleksandar Bojchevski and Stephan Günnemann. 2019. Adversarial Attacks on Node Embeddings via Graph Poisoning. In ICML. Aleksandar Bojchevski and Stephan Günnemann. 2019. Adversarial Attacks on Node Embeddings via Graph Poisoning. In ICML.

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