OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang, Bang Ye Wu, Xingliang Yuan, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 35
He Zhang, Bang Ye Wu, Xingliang Yuan, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 35
Showing 26-50 of 35 citing articles:
Construct New Graphs Using Information Bottleneck Against Property Inference Attacks
Chenhan Zhang, Zhiyi Tian, James J. Q. Yu, et al.
ICC 2022 - IEEE International Conference on Communications (2023), pp. 765-770
Closed Access | Times Cited: 2
Chenhan Zhang, Zhiyi Tian, James J. Q. Yu, et al.
ICC 2022 - IEEE International Conference on Communications (2023), pp. 765-770
Closed Access | Times Cited: 2
Defense against membership inference attack in graph neural networks through graph perturbation
Kai Wang, Jinxia Wu, Tianqing Zhu, et al.
International Journal of Information Security (2022) Vol. 22, Iss. 2, pp. 497-509
Open Access | Times Cited: 4
Kai Wang, Jinxia Wu, Tianqing Zhu, et al.
International Journal of Information Security (2022) Vol. 22, Iss. 2, pp. 497-509
Open Access | Times Cited: 4
DropNaE: Alleviating irregularity for large-scale graph representation learning
Xin Liu, Xunbin Xiong, Mingyu Yan, et al.
Neural Networks (2024) Vol. 183, pp. 106930-106930
Closed Access
Xin Liu, Xunbin Xiong, Mingyu Yan, et al.
Neural Networks (2024) Vol. 183, pp. 106930-106930
Closed Access
Topology-Aware Node Injection Attacks against graph neural networks
Linlin Su, Jinyan Wang, Zeming Gan, et al.
Neurocomputing (2024), pp. 129128-129128
Closed Access
Linlin Su, Jinyan Wang, Zeming Gan, et al.
Neurocomputing (2024), pp. 129128-129128
Closed Access
Rethinking the Trigger-injecting Position in Graph Backdoor Attack
Jing Xu, Gorka Abad, Stjepan Picek
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-8
Open Access | Times Cited: 1
Jing Xu, Gorka Abad, Stjepan Picek
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-8
Open Access | Times Cited: 1
TrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support
Jie Wang, Zheng Yan, Jiahe Lan, et al.
arXiv (Cornell University) (2023)
Open Access
Jie Wang, Zheng Yan, Jiahe Lan, et al.
arXiv (Cornell University) (2023)
Open Access
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection
Yu Zheng, Huan Yee Koh, Ming Jin, et al.
arXiv (Cornell University) (2023)
Open Access
Yu Zheng, Huan Yee Koh, Ming Jin, et al.
arXiv (Cornell University) (2023)
Open Access
DropNaE: Alleviating Irregularity for Large-Scale Graph Representation Learning
Xin Liu, Xunbin Xiong, Mingyu Yan, et al.
(2023)
Closed Access
Xin Liu, Xunbin Xiong, Mingyu Yan, et al.
(2023)
Closed Access
PGUD: Personalized Graph Universal Defense
Zeming Gan, Linlin Su, Xianxian Li, et al.
(2023)
Closed Access
Zeming Gan, Linlin Su, Xianxian Li, et al.
(2023)
Closed Access
