Learning to Drop: Robust Graph Neural Network via Topological Denoising-Reference-Cited by-同舟云学术

Learning to Drop: Robust Graph Neural Network via Topological Denoising

Published:2021-03-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 14th ACM International Conference on Web Search and Data Mining
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Author:

Luo Dongsheng¹,Cheng Wei²,Yu Wenchao²,Zong Bo²,Ni Jingchao²,Chen Haifeng²,Zhang Xiang¹

Affiliation:

1. Pennsylvania State University, State College, PA, USA

2. NEC Laboratories America, Princeton, NJ, USA

Funder

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3437963.3441734

Reference57 articles.

1. Raman Arora and Jalaj Upadhyay. 2019. On Differentially Private Graph Sparsification and Applications. In NeurIPS . 13378--13389. Raman Arora and Jalaj Upadhyay. 2019. On Differentially Private Graph Sparsification and Applications. In NeurIPS . 13378--13389.

2. Andrew Carlson Justin Betteridge Bryan Kisiel Burr Settles Estevam R Hruschka and Tom M Mitchell. 2010. Toward an architecture for never-ending language learning. In AAAI . Andrew Carlson Justin Betteridge Bryan Kisiel Burr Settles Estevam R Hruschka and Tom M Mitchell. 2010. Toward an architecture for never-ending language learning. In AAAI .

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