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:
Reliable Representations Make A Stronger Defender
Kuan Li, Yang Liu, Xiang Ao, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022), pp. 925-935
Open Access | Times Cited: 26
Kuan Li, Yang Liu, Xiang Ao, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022), pp. 925-935
Open Access | Times Cited: 26
Showing 1-25 of 26 citing articles:
Graph Relearn Network: Reducing performance variance and improving prediction accuracy of graph neural networks
Zhenhua Huang, Kunhao Li, Yihang Jiang, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112311-112311
Closed Access | Times Cited: 36
Zhenhua Huang, Kunhao Li, Yihang Jiang, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112311-112311
Closed Access | Times Cited: 36
ACGT-Net: Adaptive Cuckoo Refinement-Based Graph Transfer Network for Hyperspectral Image Classification
Yuanchao Su, Jiangyi Chen, Lianru Gao, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-14
Closed Access | Times Cited: 36
Yuanchao Su, Jiangyi Chen, Lianru Gao, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-14
Closed Access | Times Cited: 36
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization
Dongcheng Zou, Hao Peng, Xiang Huang, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 499-510
Open Access | Times Cited: 20
Dongcheng Zou, Hao Peng, Xiang Huang, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 499-510
Open Access | Times Cited: 20
Alternating-update-strategy based Graph Autoencoder for graph neural network
L. Y. Shan, Jian Li, Guanjun Liu
The Computer Journal (2025)
Closed Access
L. Y. Shan, Jian Li, Guanjun Liu
The Computer Journal (2025)
Closed Access
Generative and contrastive graph representation learning with message passing
Ying Tang, Yining Yang, Guodao Sun
Neural Networks (2025) Vol. 185, pp. 107224-107224
Closed Access
Ying Tang, Yining Yang, Guodao Sun
Neural Networks (2025) Vol. 185, pp. 107224-107224
Closed Access
FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs
Yang Liu, Xiang Ao, Fuli Feng, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 1548-1558
Open Access | Times Cited: 10
Yang Liu, Xiang Ao, Fuli Feng, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 1548-1558
Open Access | Times Cited: 10
A Clean-Label Graph Backdoor Attack Method in Node Classification Task
Xiaogang Xing, Ming Xu, Yujing Bai, et al.
Knowledge-Based Systems (2024) Vol. 304, pp. 112433-112433
Open Access | Times Cited: 3
Xiaogang Xing, Ming Xu, Yujing Bai, et al.
Knowledge-Based Systems (2024) Vol. 304, pp. 112433-112433
Open Access | Times Cited: 3
Explainable Graph-based Fraud Detection via Neural Meta-graph Search
Zidi Qin, Yang Liu, Qing He, et al.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2022), pp. 4414-4418
Open Access | Times Cited: 14
Zidi Qin, Yang Liu, Qing He, et al.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2022), pp. 4414-4418
Open Access | Times Cited: 14
A Dual Robust Graph Neural Network Against Graph Adversarial Attacks
Qian Tao, Jianpeng Liao, Enze Zhang, et al.
Neural Networks (2024) Vol. 175, pp. 106276-106276
Closed Access | Times Cited: 2
Qian Tao, Jianpeng Liao, Enze Zhang, et al.
Neural Networks (2024) Vol. 175, pp. 106276-106276
Closed Access | Times Cited: 2
Self-Guided Robust Graph Structure Refinement
Yeonjun In, Kanghoon Yoon, Kibum Kim, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 697-708
Open Access | Times Cited: 2
Yeonjun In, Kanghoon Yoon, Kibum Kim, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 697-708
Open Access | Times Cited: 2
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
Black-box attacks on dynamic graphs via adversarial topology perturbations
Haicheng Tao, Jie Cao, Lei Chen, et al.
Neural Networks (2023) Vol. 171, pp. 308-319
Closed Access | Times Cited: 5
Haicheng Tao, Jie Cao, Lei Chen, et al.
Neural Networks (2023) Vol. 171, pp. 308-319
Closed Access | Times Cited: 5
Minimum Topology Attacks for Graph Neural Networks
Mengmei Zhang, Xiao Wang, Chuan Shi, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 630-640
Closed Access | Times Cited: 5
Mengmei Zhang, Xiao Wang, Chuan Shi, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 630-640
Closed Access | Times Cited: 5
SPMGAE: Self-purified masked graph autoencoders release robust expression power
Shuhan Song, Ping Li, Ming Dun, et al.
Neurocomputing (2024), pp. 128631-128631
Closed Access | Times Cited: 1
Shuhan Song, Ping Li, Ming Dun, et al.
Neurocomputing (2024), pp. 128631-128631
Closed Access | Times Cited: 1
DEGNN: Dual Experts Graph Neural Network Handling both Edge and Node Feature Noise
Tai Hasegawa, Sukwon Yun, Xin Liu, et al.
Lecture notes in computer science (2024), pp. 376-389
Open Access
Tai Hasegawa, Sukwon Yun, Xin Liu, et al.
Lecture notes in computer science (2024), pp. 376-389
Open Access
Spmgae: Self-Purified Masked Graph Autoencoders Release Robust Expression Power
Shuhan Song, Ping Li, Ming Dun, et al.
(2024)
Closed Access
Shuhan Song, Ping Li, Ming Dun, et al.
(2024)
Closed Access
Graph Relearn Network: Reducing Performance Variance and Improving Prediction Accuracy of Graph Neural Networks
Zhenhua Huang, Kunhao Li, Yihang Jiang, et al.
(2024)
Closed Access
Zhenhua Huang, Kunhao Li, Yihang Jiang, et al.
(2024)
Closed Access
BDP: Bipartite Graph Adversarial Defense Algorithm Based on Graph Purification
Bowen Deng, Feng Lin, Siwen Li, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-9
Closed Access
Bowen Deng, Feng Lin, Siwen Li, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-9
Closed Access
PROSPECT: Learn MLPs on Graphs Robust against Adversarial Structure Attacks
Bowen Deng, Jialong Chen, Yamei Hu, et al.
(2024), pp. 425-435
Closed Access
Bowen Deng, Jialong Chen, Yamei Hu, et al.
(2024), pp. 425-435
Closed Access
HetGNN-TF: Self-supervised Learning on Heterogeneous Graph Neural Network via Topology and Feature Reconstruction
Chao Li, Xinming Liu, Jinhu Fu, et al.
Communications in computer and information science (2024), pp. 419-430
Closed Access
Chao Li, Xinming Liu, Jinhu Fu, et al.
Communications in computer and information science (2024), pp. 419-430
Closed Access
Causal Subgraphs and Information Bottlenecks: Redefining OOD Robustness in Graph Neural Networks
Weizhi An, Wenliang Zhong, Feng Jiang, et al.
Lecture notes in computer science (2024), pp. 473-489
Closed Access
Weizhi An, Wenliang Zhong, Feng Jiang, et al.
Lecture notes in computer science (2024), pp. 473-489
Closed Access
Self-Consistent Graph Neural Networks for Semi-Supervised Node Classification
Yanbei Liu, Shichuan Zhao, Xiao Wang, et al.
IEEE Transactions on Big Data (2023) Vol. 9, Iss. 4, pp. 1186-1197
Closed Access | Times Cited: 1
Yanbei Liu, Shichuan Zhao, Xiao Wang, et al.
IEEE Transactions on Big Data (2023) Vol. 9, Iss. 4, pp. 1186-1197
Closed Access | Times Cited: 1
PROSE: Graph Structure Learning via Progressive Strategy
Huizhao Wang, Yao Fu, T.L. Yu, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 2337-2348
Closed Access | Times Cited: 1
Huizhao Wang, Yao Fu, T.L. Yu, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 2337-2348
Closed Access | Times Cited: 1
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
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
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-Based Node Classification
Yulin Zhu, Liang Tong, Gaolei Li, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 6, pp. 2476-2489
Open Access
Yulin Zhu, Liang Tong, Gaolei Li, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 6, pp. 2476-2489
Open Access
