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OpenAlex Citation Counts

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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:

Self-Supervised Graph Structure Refinement for Graph Neural Networks
Jianan Zhao, Qianlong Wen, Mingxuan Ju, et al.
(2023), pp. 159-167
Open Access | Times Cited: 13

Showing 13 citing articles:

A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju, Zheng Fang, Yiyang Gu, et al.
Neural Networks (2024) Vol. 173, pp. 106207-106207
Open Access | Times Cited: 133
Heterogeneous Graph Masked Autoencoders
Yijun Tian, Kaiwen Dong, Chunhui Zhang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 8, pp. 9997-10005
Open Access | Times Cited: 50
MADM: A Model-agnostic Denoising Module for Graph-based Social Recommendation
Wenze Ma, Y Wang, Yanmin Zhu, et al.
(2024), pp. 501-509
Closed Access | Times Cited: 8
Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification
Jiayi Luo, Qingyun Sun, Haonan Yuan, et al.
(2025), pp. 2098-2110
Closed Access
Cross-Grained Neural Collaborative Filtering for Recommendation
Chuntai Li, Yue Kou, Derong Shen, et al.
IEEE Access (2024) Vol. 12, pp. 48853-48864
Open Access | Times Cited: 2
Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs
Haozhen Zhang, Xueting Han, Xi Xiao, et al.
(2023)
Open Access | Times Cited: 4
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju, Zheng Fang, Yiyang Gu, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 3
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing
Li Sun, Zhenhao Huang, Hua Wu, et al.
2021 IEEE International Conference on Data Mining (ICDM) (2023), pp. 558-567
Open Access | Times Cited: 1
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning
S. K. Choi, Won Joong Kim, Sungwon Kim, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 733-744
Open Access
Guiding Graph Learning with Denoised Modality for Multi-modal Recommendation
Y Wang, Wenze Ma, Yanmin Zhu, et al.
Lecture notes in computer science (2024), pp. 220-235
Closed Access
You Can't Ignore Either: Unifying Structure and Feature Denoising for Robust Graph Learning
Tianmeng Yang, Jiahao Meng, Min Zhou, et al.
(2024) Vol. 34, pp. 4178-4182
Closed Access
Pre-training graph autoencoder incorporating hierarchical topology knowledge
Hongyin Zhu, Yakun Li, Luyang Liu, et al.
Expert Systems with Applications (2024) Vol. 265, pp. 125976-125976
Closed Access
Building Robust and Trustworthy HGNN Models: A Learnable Threshold Approach for Node Classification
Li Ma, Yongchao Liu, Xiaofeng Gao, et al.
ACM Transactions on Knowledge Discovery from Data (2024)
Closed Access
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