
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:
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection
Junjun Pan, Yixin Liu, Yizhen Zheng, et al.
2021 IEEE International Conference on Data Mining (ICDM) (2023), pp. 1253-1258
Open Access | Times Cited: 6
Junjun Pan, Yixin Liu, Yizhen Zheng, et al.
2021 IEEE International Conference on Data Mining (ICDM) (2023), pp. 1253-1258
Open Access | Times Cited: 6
Showing 6 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
Prototype-oriented hypergraph representation learning for anomaly detection in tabular data
Shu Li, Yi Lu, Shicheng Jiu, et al.
Information Processing & Management (2024) Vol. 62, Iss. 1, pp. 103877-103877
Closed Access | Times Cited: 1
Shu Li, Yi Lu, Shicheng Jiu, et al.
Information Processing & Management (2024) Vol. 62, Iss. 1, pp. 103877-103877
Closed Access | Times Cited: 1
Magnitude-Contrastive Network for Unsupervised Graph Anomaly Detection
Fei Ge, Ji Zhang, Zhen Wang, et al.
Lecture notes in computer science (2024), pp. 481-493
Closed Access
Fei Ge, Ji Zhang, Zhen Wang, et al.
Lecture notes in computer science (2024), pp. 481-493
Closed Access
Simultaneously Detecting Node and Edge Level Anomalies on Heterogeneous Attributed Graphs
Rizal Fathony, Jenn Ng, Jia Chen
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-10
Closed Access
Rizal Fathony, Jenn Ng, Jia Chen
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-10
Closed Access
A Structural Information Guided Hierarchical Reconstruction for Graph Anomaly Detection
Dongcheng Zou, Hao Peng, Chunyang Liu
(2024), pp. 4318-4323
Closed Access
Dongcheng Zou, Hao Peng, Chunyang Liu
(2024), pp. 4318-4323
Closed Access
Graph Anomaly Detection Based on Multi-aspect Contrastive Learning
Xingshen Wei, Longyun Qi, H. Li, et al.
(2024), pp. 51-55
Closed Access
Xingshen Wei, Longyun Qi, H. Li, et al.
(2024), pp. 51-55
Closed Access