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:
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs
Xin Zheng, Miao Zhang, Chunyang Chen, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 611-620
Open Access | Times Cited: 16
Xin Zheng, Miao Zhang, Chunyang Chen, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 611-620
Open Access | Times Cited: 16
Showing 16 citing articles:
Trustworthy Graph Neural Networks: Aspects, Methods, and Trends
He Zhang, Bang Ye Wu, Xingliang Yuan, et al.
Proceedings of the IEEE (2024) Vol. 112, Iss. 2, pp. 97-139
Open Access | Times Cited: 31
He Zhang, Bang Ye Wu, Xingliang Yuan, et al.
Proceedings of the IEEE (2024) Vol. 112, Iss. 2, pp. 97-139
Open Access | Times Cited: 31
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang, Bang Ye Wu, Xingliang Yuan, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 35
He Zhang, Bang Ye Wu, Xingliang Yuan, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 35
Learning Strong Graph Neural Networks with Weak Information
Yixin Liu, Kaize Ding, Jianling Wang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 1559-1571
Open Access | Times Cited: 22
Yixin Liu, Kaize Ding, Jianling Wang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 1559-1571
Open Access | Times Cited: 22
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks
Zhiqian Chen, Fanglan Chen, Lei Zhang, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 5, pp. 1-42
Open Access | Times Cited: 16
Zhiqian Chen, Fanglan Chen, Lei Zhang, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 5, pp. 1-42
Open Access | Times Cited: 16
NHSH: Graph Hybrid Learning with Node Homophily and Spectral Heterophily for Node Classification
Kang Liu, Wenqing Dai, Xunyuan Liu, et al.
Symmetry (2025) Vol. 17, Iss. 1, pp. 115-115
Open Access
Kang Liu, Wenqing Dai, Xunyuan Liu, et al.
Symmetry (2025) Vol. 17, Iss. 1, pp. 115-115
Open Access
Heterophilic Graph Neural Network Based on Spatial and Frequency Domain Adaptive Embedding Mechanism
Lanze Zhang, Yijun Gu, Jing-Jie Peng
Computer Modeling in Engineering & Sciences (2024) Vol. 139, Iss. 2, pp. 1701-1731
Open Access | Times Cited: 2
Lanze Zhang, Yijun Gu, Jing-Jie Peng
Computer Modeling in Engineering & Sciences (2024) Vol. 139, Iss. 2, pp. 1701-1731
Open Access | Times Cited: 2
Hypergraph Neural Architecture Search
Wei Lin, Xu Peng, Zhengtao Yu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 12, pp. 13837-13845
Open Access | Times Cited: 2
Wei Lin, Xu Peng, Zhengtao Yu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 12, pp. 13837-13845
Open Access | Times Cited: 2
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks
He Zhang, Xingliang Yuan, Shirui Pan
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 1712-1725
Open Access | Times Cited: 2
He Zhang, Xingliang Yuan, Shirui Pan
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 1712-1725
Open Access | Times Cited: 2
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach
Keke Huang, Wencai Cao, Duy-Hoang Ta, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 1057-1068
Open Access | Times Cited: 1
Keke Huang, Wencai Cao, Duy-Hoang Ta, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 1057-1068
Open Access | Times Cited: 1
VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily
Fengzhao Shi, Yanan Cao, Ren Li, et al.
World Wide Web (2024) Vol. 27, Iss. 3
Open Access | Times Cited: 1
Fengzhao Shi, Yanan Cao, Ren Li, et al.
World Wide Web (2024) Vol. 27, Iss. 3
Open Access | Times Cited: 1
Adaptive multi-scale Graph Neural Architecture Search framework
Lintao Yang, Píetro Lió, Xu Shen, et al.
Neurocomputing (2024) Vol. 599, pp. 128094-128094
Closed Access | Times Cited: 1
Lintao Yang, Píetro Lió, Xu Shen, et al.
Neurocomputing (2024) Vol. 599, pp. 128094-128094
Closed Access | Times Cited: 1
Graph Convolutional Incomplete Multi-modal Hashing
Xiaobo Shen, Yinfan Chen, Shirui Pan, et al.
(2023), pp. 7029-7037
Closed Access | Times Cited: 2
Xiaobo Shen, Yinfan Chen, Shirui Pan, et al.
(2023), pp. 7029-7037
Closed Access | Times Cited: 2
VR-GNN: Variational Relation Vector Graph Neural Network for Modeling Homophily and Heterophily
Fengzhao Shi, Ren Li, Yanan Cao, et al.
Research Square (Research Square) (2024)
Open Access
Fengzhao Shi, Ren Li, Yanan Cao, et al.
Research Square (Research Square) (2024)
Open Access
Searching Heterophily-Agnostic Graph Neural Networks
Lanning Wei, Zhiqiang He, Huan Zhao, et al.
(2024)
Closed Access
Lanning Wei, Zhiqiang He, Huan Zhao, et al.
(2024)
Closed Access
Probability graph complementation contrastive learning
Wenhao Jiang, Yuebin Bai
Neural Networks (2024) Vol. 179, pp. 106522-106522
Closed Access
Wenhao Jiang, Yuebin Bai
Neural Networks (2024) Vol. 179, pp. 106522-106522
Closed Access
Prioritizing Potential Wetland Areas via Region-to-Region Knowledge Transfer and Adaptive Propagation
Yoonhyuk Choi, Reepal Shah, John L. Sabo, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 1956-1963
Open Access
Yoonhyuk Choi, Reepal Shah, John L. Sabo, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 1956-1963
Open Access
