Deep Graph Learning-Reference-Cited by-同舟云学术

Deep Graph Learning

Published:2020-07-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
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Author:

Rong Yu¹,Xu Tingyang¹,Huang Junzhou¹,Huang Wenbing²,Cheng Hong³,Ma Yao⁴,Wang Yiqi⁴,Derr Tyler⁵,Wu Lingfei⁶,Ma Tengfei⁶

Affiliation:

1. Tencent AI Lab, Shenzhen, China

2. Tsinghua University, Beijing, China

3. The Chinese University of Hong Kong, Shatin, Hong Kong

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

5. Vanderbilt University, Nashville, TN, USA

6. IBM Research AI, Yorktown Heights, NY, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3394486.3406474

Reference28 articles.

1. Tian Bian Xi Xiao Tingyang Xu Peilin Zhao Wenbing Huang Yu Rong and Junzhou Huang. 2020. Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks. In AAAI. Tian Bian Xi Xiao Tingyang Xu Peilin Zhao Wenbing Huang Yu Rong and Junzhou Huang. 2020. Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks. In AAAI.

2. Heng Chang Yu Rong Tingyang Xu Wenbing Huang Honglei Zhang Peng Cui Wenwu Zhu and Junzhou Huang. 2020. A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models.. In AAAI. 3389--3396. Heng Chang Yu Rong Tingyang Xu Wenbing Huang Honglei Zhang Peng Cui Wenwu Zhu and Junzhou Huang. 2020. A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models.. In AAAI. 3389--3396.

3. Jie Chen Tengfei Ma and Cao Xiao. 2018. FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling. In ICLR. Jie Chen Tengfei Ma and Cao Xiao. 2018. FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling. In ICLR.

4. Signed Graph Convolutional Networks

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