Enhancing Robustness of Graph Convolutional Networks via Dropping Graph Connections-Reference-Cited by-同舟云学术

Enhancing Robustness of Graph Convolutional Networks via Dropping Graph Connections

Published:2021 Issue: Volume: Page:412-428
ISSN:0302-9743
Container-title:Machine Learning and Knowledge Discovery in Databases
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Author:

Chen Lingwei,Li Xiaoting,Wu Dinghao

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-67664-3_25

Reference35 articles.

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3. Biggio, B., Fumera, G., Roli, F.: Multiple classifier systems for robust classifier design in adversarial environments. Int. J. Mach. Learn. Cybern. 1(1–4), 27–41 (2010)

4. Carlini, N., Wagner, D.: Towards evaluating the robustness of neural networks. In: 2017 IEEE Symposium on Security and Privacy (sp), pp. 39–57. IEEE (2017)

5. Chen, J., Zhu, J., Song, L.: Stochastic training of graph convolutional networks with variance reduction. arXiv preprint arXiv:1710.10568 (2017)

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