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:
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
Showing 10 citing articles:
LSPI: Heterogeneous graph neural network classification aggregation algorithm based on size neighbor path identification
Yufei Zhao, Shiduo Wang, Hua Duan
Applied Soft Computing (2025), pp. 112656-112656
Open Access
Yufei Zhao, Shiduo Wang, Hua Duan
Applied Soft Computing (2025), pp. 112656-112656
Open Access
MHGC: Multi-scale hard sample mining for contrastive deep graph clustering
Tao Ren, H. F. Zhang, Yifan Wang, et al.
Information Processing & Management (2025) Vol. 62, Iss. 4, pp. 104084-104084
Closed Access
Tao Ren, H. F. Zhang, Yifan Wang, et al.
Information Processing & Management (2025) Vol. 62, Iss. 4, pp. 104084-104084
Closed Access
Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective
Kai Guo, Hongzhi Wen, Wei Jin, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 932-943
Open Access | Times Cited: 1
Kai Guo, Hongzhi Wen, Wei Jin, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 932-943
Open Access | Times Cited: 1
Graph Condensation for Open-World Graph Learning
Xinyi Gao, Tong Chen, Wentao Zhang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 851-862
Open Access
Xinyi Gao, Tong Chen, Wentao Zhang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 851-862
Open Access
One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes
Yuchang Zhu, Jintang Li, Yatao Bian, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 4688-4699
Open Access
Yuchang Zhu, Jintang Li, Yatao Bian, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 4688-4699
Open Access
Improving Out-of-Distribution Generalization in Graphs via Hierarchical Semantic Environments
Yinhua Piao, Sangseon Lee, Yijingxiu Lu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 35, pp. 27621-27630
Closed Access
Yinhua Piao, Sangseon Lee, Yijingxiu Lu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 35, pp. 27621-27630
Closed Access
A survey of out‐of‐distribution generalization for graph machine learning from a causal view
Jing Ma
AI Magazine (2024)
Open Access
Jing Ma
AI Magazine (2024)
Open Access
Heterophilic Graph Invariant Learning for Out-of-Distribution of Fraud Detection
Lingfei Ren, Ruimin Hu, Zheng Wang, et al.
(2024), pp. 11032-11040
Closed Access
Lingfei Ren, Ruimin Hu, Zheng Wang, et al.
(2024), pp. 11032-11040
Closed Access
Unraveling and Mitigating Endogenous Task-oriented Spurious Correlations in Ego-graphs via Automated Counterfactual Contrastive Learning
Tianqianjin Lin, Yangyang Kang, Zhuoren Jiang, et al.
Expert Systems with Applications (2024) Vol. 266, pp. 126015-126015
Closed Access
Tianqianjin Lin, Yangyang Kang, Zhuoren Jiang, et al.
Expert Systems with Applications (2024) Vol. 266, pp. 126015-126015
Closed Access
Unifying invariant and variant features for graph out-of-distribution via probability of necessity and sufficiency
Chen XueXin, Ruichu Cai, Kaitao Zheng, et al.
Neural Networks (2024) Vol. 184, pp. 107044-107044
Closed Access
Chen XueXin, Ruichu Cai, Kaitao Zheng, et al.
Neural Networks (2024) Vol. 184, pp. 107044-107044
Closed Access
