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:
ResGCN: attention-based deep residual modeling for anomaly detection on attributed networks
Yulong Pei, Tianjin Huang, Werner van Ipenburg, et al.
Machine Learning (2021) Vol. 111, Iss. 2, pp. 519-541
Open Access | Times Cited: 36
Yulong Pei, Tianjin Huang, Werner van Ipenburg, et al.
Machine Learning (2021) Vol. 111, Iss. 2, pp. 519-541
Open Access | Times Cited: 36
Showing 1-25 of 36 citing articles:
Graph Anomaly Detection With Graph Neural Networks: Current Status and Challenges
Hwan Kim, Byung Suk Lee, Won-Yong Shin, et al.
IEEE Access (2022) Vol. 10, pp. 111820-111829
Open Access | Times Cited: 59
Hwan Kim, Byung Suk Lee, Won-Yong Shin, et al.
IEEE Access (2022) Vol. 10, pp. 111820-111829
Open Access | Times Cited: 59
IEA-GNN: Anchor-aware graph neural network fused with information entropy for node classification and link prediction
Peiliang Zhang, Jiatao Chen, Chao Che, et al.
Information Sciences (2023) Vol. 634, pp. 665-676
Closed Access | Times Cited: 29
Peiliang Zhang, Jiatao Chen, Chao Che, et al.
Information Sciences (2023) Vol. 634, pp. 665-676
Closed Access | Times Cited: 29
A Novel Self-Supervised Learning-Based Anomalous Node Detection Method Based on an Autoencoder for Wireless Sensor Networks
Miao Ye, Qinghao Zhang, Xingsi Xue, et al.
IEEE Systems Journal (2024) Vol. 18, Iss. 1, pp. 256-267
Closed Access | Times Cited: 11
Miao Ye, Qinghao Zhang, Xingsi Xue, et al.
IEEE Systems Journal (2024) Vol. 18, Iss. 1, pp. 256-267
Closed Access | Times Cited: 11
Detecting Anomalies in Attributed Networks Through Sparse Canonical Correlation Analysis Combined With Random Masking and Padding
Wasim Khan, Mohammad Ishrat, Ahmad Neyaz Khan, et al.
IEEE Access (2024) Vol. 12, pp. 65555-65569
Open Access | Times Cited: 10
Wasim Khan, Mohammad Ishrat, Ahmad Neyaz Khan, et al.
IEEE Access (2024) Vol. 12, pp. 65555-65569
Open Access | Times Cited: 10
Counterfactual Graph Learning for Anomaly Detection on Attributed Networks
Chunjing Xiao, Xovee Xu, Lei Yue, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 10, pp. 10540-10553
Closed Access | Times Cited: 21
Chunjing Xiao, Xovee Xu, Lei Yue, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 10, pp. 10540-10553
Closed Access | Times Cited: 21
An overview on deep clustering
Xiuxi Wei, Zhihui Zhang, Huajuan Huang, et al.
Neurocomputing (2024) Vol. 590, pp. 127761-127761
Closed Access | Times Cited: 7
Xiuxi Wei, Zhihui Zhang, Huajuan Huang, et al.
Neurocomputing (2024) Vol. 590, pp. 127761-127761
Closed Access | Times Cited: 7
DVAEGMM: Dual Variational Autoencoder With Gaussian Mixture Model for Anomaly Detection on Attributed Networks
Wasim Khan, Mohammad Haroon, Ahmad Neyaz Khan, et al.
IEEE Access (2022) Vol. 10, pp. 91160-91176
Open Access | Times Cited: 22
Wasim Khan, Mohammad Haroon, Ahmad Neyaz Khan, et al.
IEEE Access (2022) Vol. 10, pp. 91160-91176
Open Access | Times Cited: 22
Residual-enhanced graph convolutional networks with hypersphere mapping for anomaly detection in attributed networks
Wasim Khan, Afsaruddin Mohd, Mohammad Suaib, et al.
Data Science and Management (2024)
Open Access | Times Cited: 5
Wasim Khan, Afsaruddin Mohd, Mohammad Suaib, et al.
Data Science and Management (2024)
Open Access | Times Cited: 5
ANOGAT-Sparse-TL: A hybrid framework combining sparsification and graph attention for anomaly detection in attributed networks using the optimized loss function incorporating the twersky loss for improved robustness.
Wasim Khan, Nadhem Sultan Ebrahim
Knowledge-Based Systems (2025), pp. 113144-113144
Open Access
Wasim Khan, Nadhem Sultan Ebrahim
Knowledge-Based Systems (2025), pp. 113144-113144
Open Access
Structural Connectome Analysis using a Graph-based Deep Model for Age and Dementia Prediction
Anees Kazi, Jocelyn Mora, Bruce Fischl, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Anees Kazi, Jocelyn Mora, Bruce Fischl, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Deep learning in 3D cardiac reconstruction: a systematic review of methodologies and dataset
Rajendra Kumar Pandey, Yogesh Kumar Rathore
Medical & Biological Engineering & Computing (2025)
Closed Access
Rajendra Kumar Pandey, Yogesh Kumar Rathore
Medical & Biological Engineering & Computing (2025)
Closed Access
An efficient encoder-decoder network for the capacitated vehicle routing problem
Jia Luo, Chaofeng Li
Expert Systems with Applications (2025), pp. 127311-127311
Closed Access
Jia Luo, Chaofeng Li
Expert Systems with Applications (2025), pp. 127311-127311
Closed Access
Study on a LightGBM-Based Model for Detecting Anomaly Operation of Delta Robot
Ji Yeon Kim, Ki-Hwan Kim, Youngjin Kang, et al.
Springer proceedings in business and economics (2025), pp. 469-476
Closed Access
Ji Yeon Kim, Ki-Hwan Kim, Youngjin Kang, et al.
Springer proceedings in business and economics (2025), pp. 469-476
Closed Access
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
Xiaoxiao Ma, Jia Wu, Shan Xue, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 25
Xiaoxiao Ma, Jia Wu, Shan Xue, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 25
Optimal Deep Learning Based Intruder Identification in Industrial Internet of Things Environment
Khaled M. Alalayah, Fatma S. Alrayes, Jaber S. Alzahrani, et al.
Computer Systems Science and Engineering (2023) Vol. 46, Iss. 3, pp. 3121-3139
Open Access | Times Cited: 9
Khaled M. Alalayah, Fatma S. Alrayes, Jaber S. Alzahrani, et al.
Computer Systems Science and Engineering (2023) Vol. 46, Iss. 3, pp. 3121-3139
Open Access | Times Cited: 9
PruneGNN: Algorithm-Architecture Pruning Framework for Graph Neural Network Acceleration
Deniz Gurevin, Mohsin Shan, Shaoyi Huang, et al.
(2024) Vol. abs/1801.10247, pp. 108-123
Closed Access | Times Cited: 3
Deniz Gurevin, Mohsin Shan, Shaoyi Huang, et al.
(2024) Vol. abs/1801.10247, pp. 108-123
Closed Access | Times Cited: 3
Deep Transfer Learning with Graph Neural Network for Sensor-Based Human Activity Recognition
Tianzheng Liao, Jinjin Zhao, Yu-Shi Liu, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2022), pp. 2445-2452
Open Access | Times Cited: 15
Tianzheng Liao, Jinjin Zhao, Yu-Shi Liu, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2022), pp. 2445-2452
Open Access | Times Cited: 15
Community preserving adaptive graph convolutional networks for link prediction in attributed networks
Chaobo He, Junwei Cheng, Xiang Fei, et al.
Knowledge-Based Systems (2023) Vol. 272, pp. 110589-110589
Closed Access | Times Cited: 8
Chaobo He, Junwei Cheng, Xiang Fei, et al.
Knowledge-Based Systems (2023) Vol. 272, pp. 110589-110589
Closed Access | Times Cited: 8
Gait Recognition With Drones: A Benchmark
Aoqi Li, Saihui Hou, Qingyuan Cai, et al.
IEEE Transactions on Multimedia (2023) Vol. 26, pp. 3530-3540
Closed Access | Times Cited: 8
Aoqi Li, Saihui Hou, Qingyuan Cai, et al.
IEEE Transactions on Multimedia (2023) Vol. 26, pp. 3530-3540
Closed Access | Times Cited: 8
Detecting Socially Abnormal Highway Driving Behaviors via Recurrent Graph Attention Networks
Yue Hu, Yuhang Zhang, Yanbing Wang, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 3086-3097
Open Access | Times Cited: 6
Yue Hu, Yuhang Zhang, Yanbing Wang, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 3086-3097
Open Access | Times Cited: 6
A novel anomaly detection method for multimodal WSN data flow via a dynamic graph neural network
Qinghao Zhang, Miao Ye, Xiaofang Deng
Connection Science (2022) Vol. 34, Iss. 1, pp. 1609-1637
Open Access | Times Cited: 10
Qinghao Zhang, Miao Ye, Xiaofang Deng
Connection Science (2022) Vol. 34, Iss. 1, pp. 1609-1637
Open Access | Times Cited: 10
A Weakly Supervised Graph Deep Learning Framework for Point Cloud Registration
Lan Sun, Zhenxin Zhang, Ruofei Zhong, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-12
Closed Access | Times Cited: 9
Lan Sun, Zhenxin Zhang, Ruofei Zhong, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-12
Closed Access | Times Cited: 9
Unsupervised Anomaly Detection on Attributed Networks With Graph Contrastive Learning for Consumer Electronics Security
Bo Xu, J. Wang, Zhehuan Zhao, et al.
IEEE Transactions on Consumer Electronics (2024) Vol. 70, Iss. 1, pp. 4062-4072
Closed Access | Times Cited: 1
Bo Xu, J. Wang, Zhehuan Zhao, et al.
IEEE Transactions on Consumer Electronics (2024) Vol. 70, Iss. 1, pp. 4062-4072
Closed Access | Times Cited: 1
Inductive Subgraph Embedding for Link Prediction
Jin Si, Chenxuan Xie, Jiajun Zhou, et al.
Mobile Networks and Applications (2024)
Open Access | Times Cited: 1
Jin Si, Chenxuan Xie, Jiajun Zhou, et al.
Mobile Networks and Applications (2024)
Open Access | Times Cited: 1
A graph encoder–decoder network for unsupervised anomaly detection
Mahsa Mesgaran, A. Ben Hamza
Neural Computing and Applications (2023) Vol. 35, Iss. 32, pp. 23521-23535
Closed Access | Times Cited: 3
Mahsa Mesgaran, A. Ben Hamza
Neural Computing and Applications (2023) Vol. 35, Iss. 32, pp. 23521-23535
Closed Access | Times Cited: 3
