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:
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation
Chang Meng, Ziqi Zhao, Wei Guo, et al.
ACM transactions on office information systems (2023) Vol. 42, Iss. 1, pp. 1-27
Open Access | Times Cited: 16
Chang Meng, Ziqi Zhao, Wei Guo, et al.
ACM transactions on office information systems (2023) Vol. 42, Iss. 1, pp. 1-27
Open Access | Times Cited: 16
Showing 16 citing articles:
LLMRec: Large Language Models with Graph Augmentation for Recommendation
Wei Wei, Xubin Ren, Jiabin Tang, et al.
(2024), pp. 806-815
Open Access | Times Cited: 53
Wei Wei, Xubin Ren, Jiabin Tang, et al.
(2024), pp. 806-815
Open Access | Times Cited: 53
Multi-Behavior Recommendation with Cascading Graph Convolution Networks
Zhiyong Cheng, Sai Han, Fan Liu, et al.
Proceedings of the ACM Web Conference 2022 (2023)
Open Access | Times Cited: 41
Zhiyong Cheng, Sai Han, Fan Liu, et al.
Proceedings of the ACM Web Conference 2022 (2023)
Open Access | Times Cited: 41
Reinforcement Graph Clustering with Unknown Cluster Number
Yue Liu, Ke Liang, Jun Xia, et al.
(2023), pp. 3528-3537
Open Access | Times Cited: 12
Yue Liu, Ke Liang, Jun Xia, et al.
(2023), pp. 3528-3537
Open Access | Times Cited: 12
Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation
Mingshi Yan, Fan Liu, Jing Sun, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 946-955
Open Access | Times Cited: 4
Mingshi Yan, Fan Liu, Jing Sun, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 946-955
Open Access | Times Cited: 4
Value Function Decomposition in Markov Recommendation Process
X. Wang, Shuchang Liu, Qingpeng Cai, et al.
(2025), pp. 379-390
Open Access
X. Wang, Shuchang Liu, Qingpeng Cai, et al.
(2025), pp. 379-390
Open Access
HRMG-EA: Heterogeneous graph neural network recommendation with multi-level guidance based on enhanced-attributes
Li-Min Wang, Guiyuan Yuan, Chao Li, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Li-Min Wang, Guiyuan Yuan, Chao Li, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Beyond Sequential Patterns: Rethinking Healthcare Predictions with Contextual Insights
Chuang Zhao, Hui Tang, Hongke Zhao, et al.
ACM transactions on office information systems (2025)
Closed Access
Chuang Zhao, Hui Tang, Hongke Zhao, et al.
ACM transactions on office information systems (2025)
Closed Access
Attention-guided graph convolutional network for multi-behavior recommendation
Xingchen Peng, Jing Sun, Mingshi Yan, et al.
Knowledge-Based Systems (2023) Vol. 280, pp. 111040-111040
Closed Access | Times Cited: 7
Xingchen Peng, Jing Sun, Mingshi Yan, et al.
Knowledge-Based Systems (2023) Vol. 280, pp. 111040-111040
Closed Access | Times Cited: 7
Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs
Xi Zhu, Fake Lin, Ziwei Zhao, et al.
ACM transactions on office information systems (2024)
Closed Access | Times Cited: 2
Xi Zhu, Fake Lin, Ziwei Zhao, et al.
ACM transactions on office information systems (2024)
Closed Access | Times Cited: 2
Disentangled Cascaded Graph Convolution Networks for Multi-Behavior Recommendation
Zhiyong Cheng, Jianhua Dong, Fan Liu, et al.
ACM Transactions on Recommender Systems (2024) Vol. 2, Iss. 4, pp. 1-27
Open Access | Times Cited: 1
Zhiyong Cheng, Jianhua Dong, Fan Liu, et al.
ACM Transactions on Recommender Systems (2024) Vol. 2, Iss. 4, pp. 1-27
Open Access | Times Cited: 1
When Multi-Behavior Meets Multi-Interest: Multi-Behavior Sequential Recommendation with Multi-Interest Self-Supervised Learning
Binquan Wu, Cheng Yu, Haitao Yuan, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 845-858
Closed Access | Times Cited: 1
Binquan Wu, Cheng Yu, Haitao Yuan, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 845-858
Closed Access | Times Cited: 1
Hypergraph projection enhanced collaborative filtering
Yuan Xiangyi, Chang Meng, Hengyu Zhang, et al.
International Journal of Data Science and Analytics (2024)
Closed Access
Yuan Xiangyi, Chang Meng, Hengyu Zhang, et al.
International Journal of Data Science and Analytics (2024)
Closed Access
Leveraging multiple behaviors and explicit preferences for job recommendation
Yosuke Saito, Kazunari Sugiyama
Expert Systems with Applications (2024) Vol. 258, pp. 125149-125149
Closed Access
Yosuke Saito, Kazunari Sugiyama
Expert Systems with Applications (2024) Vol. 258, pp. 125149-125149
Closed Access
Disentangled Multi-interest Representation Learning for Sequential Recommendation
Yingpeng Du, Ziyan Wang, Zhu Sun, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 677-688
Closed Access
Yingpeng Du, Ziyan Wang, Zhu Sun, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 677-688
Closed Access
Cascading Graph Convolution Contrastive Learning Networks for Multi-behavior Recommendation
Nan Liu, Shunmei Meng, Yu Jiang, et al.
Lecture notes in computer science (2024), pp. 3-18
Closed Access
Nan Liu, Shunmei Meng, Yu Jiang, et al.
Lecture notes in computer science (2024), pp. 3-18
Closed Access
DeHier: decoupled and hierarchical graph neural networks for multi-interest session-based recommendation
Ronghua Lin, Feiyi Tang, Chengzhe Yuan, et al.
World Wide Web (2024) Vol. 28, Iss. 1
Closed Access
Ronghua Lin, Feiyi Tang, Chengzhe Yuan, et al.
World Wide Web (2024) Vol. 28, Iss. 1
Closed Access
