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:
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection
Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, et al.
2021 IEEE International Conference on Data Mining (ICDM) (2023), pp. 11-20
Open Access | Times Cited: 7
Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, et al.
2021 IEEE International Conference on Data Mining (ICDM) (2023), pp. 11-20
Open Access | Times Cited: 7
Showing 7 citing articles:
A comprehensive survey on GNN-based anomaly detection: taxonomy, methods, and the role of large language models
Ziqi Yuan, Qingyun Sun, Haoyi Zhou, et al.
International Journal of Machine Learning and Cybernetics (2025)
Closed Access
Ziqi Yuan, Qingyun Sun, Haoyi Zhou, et al.
International Journal of Machine Learning and Cybernetics (2025)
Closed Access
Fraud Detection in E-Commerce: A Systematic Review of Transaction Risk Prevention
Susie Xi Rao, Jiawei Jiang, Zhichao Han, et al.
IntechOpen eBooks (2025)
Closed Access
Susie Xi Rao, Jiawei Jiang, Zhichao Han, et al.
IntechOpen eBooks (2025)
Closed Access
How to use Graph Data in the Wild to Help Graph Anomaly Detection?
Yuxuan Cao, Jiarong Xu, Chen Zhao, et al.
(2025), pp. 61-72
Closed Access
Yuxuan Cao, Jiarong Xu, Chen Zhao, et al.
(2025), pp. 61-72
Closed Access
Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classification
Yuanchen Bei, W. Chen, Hao Chen, et al.
(2025), pp. 37-48
Closed Access
Yuanchen Bei, W. Chen, Hao Chen, et al.
(2025), pp. 37-48
Closed Access
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks
Yuanchen Bei, Hao Xu, Sheng Zhou, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 1199-1212
Open Access | Times Cited: 1
Yuanchen Bei, Hao Xu, Sheng Zhou, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 1199-1212
Open Access | Times Cited: 1
Feedback Reciprocal Graph Collaborative Filtering
Weijun Chen, Yuanchen Bei, Qijie Shen, et al.
(2024), pp. 4397-4405
Open Access | Times Cited: 1
Weijun Chen, Yuanchen Bei, Qijie Shen, et al.
(2024), pp. 4397-4405
Open Access | Times Cited: 1
Graph Neural Patching for Cold-Start Recommendations
Hao Chen, Yang Yu, Yuanchen Bei, et al.
Lecture notes in computer science (2024), pp. 334-346
Closed Access
Hao Chen, Yang Yu, Yuanchen Bei, et al.
Lecture notes in computer science (2024), pp. 334-346
Closed Access
