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:
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy
Enyan Dai, Limeng Cui, Zhengyang Wang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 368-379
Open Access | Times Cited: 5
Enyan Dai, Limeng Cui, Zhengyang Wang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 368-379
Open Access | Times Cited: 5
Showing 5 citing articles:
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability
Enyan Dai, Tianxiang Zhao, Huaisheng Zhu, et al.
Deleted Journal (2024)
Open Access | Times Cited: 5
Enyan Dai, Tianxiang Zhao, Huaisheng Zhu, et al.
Deleted Journal (2024)
Open Access | Times Cited: 5
InsGNN: Interpretable spatio–temporal graph neural networks via information bottleneck
Hui Fang, Haishuai Wang, Yang Gao, et al.
Information Fusion (2025), pp. 102997-102997
Closed Access
Hui Fang, Haishuai Wang, Yang Gao, et al.
Information Fusion (2025), pp. 102997-102997
Closed Access
Towards Fair Graph Neural Networks via Graph Counterfactual
Zhimeng Guo, Jialiang Li, Teng Xiao, et al.
(2023), pp. 669-678
Open Access | Times Cited: 12
Zhimeng Guo, Jialiang Li, Teng Xiao, et al.
(2023), pp. 669-678
Open Access | Times Cited: 12
Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark
Qian Xiaowei, Zhimeng Guo, Jialiang Li, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 5602-5612
Open Access | Times Cited: 1
Qian Xiaowei, Zhimeng Guo, Jialiang Li, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 5602-5612
Open Access | Times Cited: 1
Bridging and Compressing Feature and Semantic Spaces for Robust Graph Neural Networks: An Information Theory Perspective
Luying Zhong, Renjie Lin, Jiayin Li, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 4571-4582
Closed Access
Luying Zhong, Renjie Lin, Jiayin Li, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 4571-4582
Closed Access
