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:
Estimating Causal Effects on Networked Observational Data via Representation Learning
Song Jiang, Yizhou Sun
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2022), pp. 852-861
Open Access | Times Cited: 12
Song Jiang, Yizhou Sun
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2022), pp. 852-861
Open Access | Times Cited: 12
Showing 12 citing articles:
Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data
Binbin Hu, Zhicheng An, Zhengwei Wu, et al.
(2025), pp. 1-9
Closed Access
Binbin Hu, Zhicheng An, Zhengwei Wu, et al.
(2025), pp. 1-9
Closed Access
Inferring individual direct causal effects under heterogeneous peer influence
Shishir Adhikari, Elena Zheleva
Machine Learning (2025) Vol. 114, Iss. 4
Closed Access
Shishir Adhikari, Elena Zheleva
Machine Learning (2025) Vol. 114, Iss. 4
Closed Access
CauseKG: A Framework Enhancing Causal Inference With Implicit Knowledge Deduced From Knowledge Graphs
Hao Huang, María-Esther Vidal
IEEE Access (2024) Vol. 12, pp. 61810-61827
Open Access | Times Cited: 2
Hao Huang, María-Esther Vidal
IEEE Access (2024) Vol. 12, pp. 61810-61827
Open Access | Times Cited: 2
Invariant Graph Learning for Causal Effect Estimation
Yongduo Sui, Caizhi Tang, Zhixuan Chu, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 2552-2562
Closed Access | Times Cited: 2
Yongduo Sui, Caizhi Tang, Zhixuan Chu, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 2552-2562
Closed Access | Times Cited: 2
Learning Individual Treatment Effects under Heterogeneous Interference in Networks
Ziyu Zhao, Yuqi Bai, Ruoxuan Xiong, et al.
ACM Transactions on Knowledge Discovery from Data (2024) Vol. 18, Iss. 8, pp. 1-21
Open Access | Times Cited: 1
Ziyu Zhao, Yuqi Bai, Ruoxuan Xiong, et al.
ACM Transactions on Knowledge Discovery from Data (2024) Vol. 18, Iss. 8, pp. 1-21
Open Access | Times Cited: 1
Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling
Dingyuan Zhu, Daixin Wang, Zhiqiang Zhang, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 395-405
Open Access | Times Cited: 2
Dingyuan Zhu, Daixin Wang, Zhiqiang Zhang, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 395-405
Open Access | Times Cited: 2
Causal lifting and link prediction
Leonardo Cotta, Beatrice Bevilacqua, Nesreen K. Ahmed, et al.
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (2023) Vol. 479, Iss. 2276
Open Access | Times Cited: 2
Leonardo Cotta, Beatrice Bevilacqua, Nesreen K. Ahmed, et al.
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (2023) Vol. 479, Iss. 2276
Open Access | Times Cited: 2
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems
Song Jiang, Zijie Huang, Xiao Luo, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 997-1009
Open Access | Times Cited: 2
Song Jiang, Zijie Huang, Xiao Luo, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 997-1009
Open Access | Times Cited: 2
Uplift Modeling Under Limited Supervision
George Panagopoulos, Daniele Malitesta, Fragkiskos D. Malliaros, et al.
Lecture notes in computer science (2024), pp. 127-144
Closed Access
George Panagopoulos, Daniele Malitesta, Fragkiskos D. Malliaros, et al.
Lecture notes in computer science (2024), pp. 127-144
Closed Access
Networked Instrumental Variable for Treatment Effect Estimation with Unobserved Confounders
Ziyu Zhao, Anpeng Wu, Kun Kuang, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 37, Iss. 2, pp. 823-836
Closed Access
Ziyu Zhao, Anpeng Wu, Kun Kuang, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 37, Iss. 2, pp. 823-836
Closed Access
Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems
Zijie Huang, JeeHyun Hwang, Junkai Zhang, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 4607-4617
Open Access
Zijie Huang, JeeHyun Hwang, Junkai Zhang, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 4607-4617
Open Access
Generalization Bound for Estimating Causal Effects from Observational Network Data
Ruichu Cai, Zeqin Yang, Weilin Chen, et al.
(2023), pp. 163-172
Open Access | Times Cited: 1
Ruichu Cai, Zeqin Yang, Weilin Chen, et al.
(2023), pp. 163-172
Open Access | Times Cited: 1
