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:
Self-Supervised Learning for Recommender Systems: A Survey
Junliang Yu, Hongzhi Yin, Xin Xia, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 1, pp. 335-355
Open Access | Times Cited: 154
Junliang Yu, Hongzhi Yin, Xin Xia, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 1, pp. 335-355
Open Access | Times Cited: 154
Showing 1-25 of 154 citing articles:
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation
Junliang Yu, Xin Xia, Tong Chen, et al.
IEEE Transactions on Knowledge and Data Engineering (2023), pp. 1-14
Open Access | Times Cited: 110
Junliang Yu, Xin Xia, Tong Chen, et al.
IEEE Transactions on Knowledge and Data Engineering (2023), pp. 1-14
Open Access | Times Cited: 110
A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations
Zehui Zhao, Laith Alzubaidi, Jinglan Zhang, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122807-122807
Open Access | Times Cited: 91
Zehui Zhao, Laith Alzubaidi, Jinglan Zhang, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122807-122807
Open Access | Times Cited: 91
BLoG: Bootstrapped graph representation learning with local and global regularization for recommendation
Ming Li, Lin Zhang, Lixin Cui, et al.
Pattern Recognition (2023) Vol. 144, pp. 109874-109874
Closed Access | Times Cited: 54
Ming Li, Lin Zhang, Lixin Cui, et al.
Pattern Recognition (2023) Vol. 144, pp. 109874-109874
Closed Access | Times Cited: 54
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering
Xin Zhou, Aixin Sun, Yong Liu, et al.
ACM Transactions on Recommender Systems (2023) Vol. 1, Iss. 2, pp. 1-25
Open Access | Times Cited: 47
Xin Zhou, Aixin Sun, Yong Liu, et al.
ACM Transactions on Recommender Systems (2023) Vol. 1, Iss. 2, pp. 1-25
Open Access | Times Cited: 47
To Compress or Not to Compress—Self-Supervised Learning and Information Theory: A Review
Ravid Shwartz Ziv, Yann LeCun
Entropy (2024) Vol. 26, Iss. 3, pp. 252-252
Open Access | Times Cited: 30
Ravid Shwartz Ziv, Yann LeCun
Entropy (2024) Vol. 26, Iss. 3, pp. 252-252
Open Access | Times Cited: 30
A Survey of Graph Neural Networks for Social Recommender Systems
Kartik Sharma, Yeon-Chang Lee, Sivagami Nambi, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 10, pp. 1-34
Open Access | Times Cited: 17
Kartik Sharma, Yeon-Chang Lee, Sivagami Nambi, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 10, pp. 1-34
Open Access | Times Cited: 17
Self-Supervised Hypergraph Representation Learning for Sociological Analysis
Xiangguo Sun, Hong Cheng, Bo Liu, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 11, pp. 11860-11871
Open Access | Times Cited: 34
Xiangguo Sun, Hong Cheng, Bo Liu, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 11, pp. 11860-11871
Open Access | Times Cited: 34
Contrastive Self-supervised Learning in Recommender Systems: A Survey
Mengyuan Jing, Yanmin Zhu, Tianzi Zang, et al.
ACM transactions on office information systems (2023) Vol. 42, Iss. 2, pp. 1-39
Open Access | Times Cited: 31
Mengyuan Jing, Yanmin Zhu, Tianzi Zang, et al.
ACM transactions on office information systems (2023) Vol. 42, Iss. 2, pp. 1-39
Open Access | Times Cited: 31
CL4CTR: A Contrastive Learning Framework for CTR Prediction
Fangye Wang, Yingxu Wang, Dongsheng Li, et al.
(2023), pp. 805-813
Open Access | Times Cited: 29
Fangye Wang, Yingxu Wang, Dongsheng Li, et al.
(2023), pp. 805-813
Open Access | Times Cited: 29
Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics
Jiawei Jiang, Dayan Pan, Houxing Ren, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2023), pp. 843-855
Open Access | Times Cited: 29
Jiawei Jiang, Dayan Pan, Houxing Ren, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2023), pp. 843-855
Open Access | Times Cited: 29
Contrastive Collaborative Filtering for Cold-Start Item Recommendation
Zhihui Zhou, Lilin Zhang, Ning Yang
Proceedings of the ACM Web Conference 2022 (2023)
Open Access | Times Cited: 28
Zhihui Zhou, Lilin Zhang, Ning Yang
Proceedings of the ACM Web Conference 2022 (2023)
Open Access | Times Cited: 28
Multi-View Graph Convolutional Network for Multimedia Recommendation
Penghang Yu, Zhiyi Tan, Guanming Lu, et al.
(2023), pp. 6576-6585
Open Access | Times Cited: 27
Penghang Yu, Zhiyi Tan, Guanming Lu, et al.
(2023), pp. 6576-6585
Open Access | Times Cited: 27
Self-Supervised Learning for data scarcity in a fatigue damage prognostic problem
Anass Akrim, Christian Gogu, Rob Vingerhoeds, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105837-105837
Open Access | Times Cited: 24
Anass Akrim, Christian Gogu, Rob Vingerhoeds, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105837-105837
Open Access | Times Cited: 24
A survey on causal inference for recommendation
Huishi Luo, Fuzhen Zhuang, Ruobing Xie, et al.
The Innovation (2024) Vol. 5, Iss. 2, pp. 100590-100590
Open Access | Times Cited: 13
Huishi Luo, Fuzhen Zhuang, Ruobing Xie, et al.
The Innovation (2024) Vol. 5, Iss. 2, pp. 100590-100590
Open Access | Times Cited: 13
Data Scarcity in Recommendation Systems: A Survey
Zefeng Chen, Wensheng Gan, Jiayang Wu, et al.
ACM Transactions on Recommender Systems (2024)
Open Access | Times Cited: 8
Zefeng Chen, Wensheng Gan, Jiayang Wu, et al.
ACM Transactions on Recommender Systems (2024)
Open Access | Times Cited: 8
How to Improve Representation Alignment and Uniformity in Graph-Based Collaborative Filtering?
Zhongyu Ouyang, Chunhui Zhang, Shifu Hou, et al.
Proceedings of the International AAAI Conference on Web and Social Media (2024) Vol. 18, pp. 1148-1159
Open Access | Times Cited: 7
Zhongyu Ouyang, Chunhui Zhang, Shifu Hou, et al.
Proceedings of the International AAAI Conference on Web and Social Media (2024) Vol. 18, pp. 1148-1159
Open Access | Times Cited: 7
Modeling Two-Way Selection Preference for Person-Job Fit
Yang Chen, Yupeng Hou, Yang Song, et al.
(2022)
Open Access | Times Cited: 29
Yang Chen, Yupeng Hou, Yang Song, et al.
(2022)
Open Access | Times Cited: 29
Pre-train, Prompt, and Recommendation: A Comprehensive Survey of Language Modeling Paradigm Adaptations in Recommender Systems
Peng Liu, Lemei Zhang, Jon Atle Gulla
Transactions of the Association for Computational Linguistics (2023) Vol. 11, pp. 1553-1571
Open Access | Times Cited: 21
Peng Liu, Lemei Zhang, Jon Atle Gulla
Transactions of the Association for Computational Linguistics (2023) Vol. 11, pp. 1553-1571
Open Access | Times Cited: 21
Disentangled Contrastive Hypergraph Learning for Next POI Recommendation
Yantong Lai, Yijun Su, Lingwei Wei, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 1452-1462
Closed Access | Times Cited: 7
Yantong Lai, Yijun Su, Lingwei Wei, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 1452-1462
Closed Access | Times Cited: 7
SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation
Yuxi Liu, Lianghao Xia, Chao Huang
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 1609-1618
Open Access | Times Cited: 7
Yuxi Liu, Lianghao Xia, Chao Huang
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 1609-1618
Open Access | Times Cited: 7
Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models
Yunjia Xi, Weiwen Liu, Jianghao Lin, et al.
(2024), pp. 12-22
Open Access | Times Cited: 7
Yunjia Xi, Weiwen Liu, Jianghao Lin, et al.
(2024), pp. 12-22
Open Access | Times Cited: 7
Motif-based Prompt Learning for Universal Cross-domain Recommendation
Bowen Hao, Chaoqun Yang, Lei Guo, et al.
(2024), pp. 257-265
Open Access | Times Cited: 6
Bowen Hao, Chaoqun Yang, Lei Guo, et al.
(2024), pp. 257-265
Open Access | Times Cited: 6
HeteFedRec: Federated Recommender Systems with Model Heterogeneity
Yuan Wei, Liang Qu, Lizhen Cui, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 1324-1337
Open Access | Times Cited: 6
Yuan Wei, Liang Qu, Lizhen Cui, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 1324-1337
Open Access | Times Cited: 6
An autoencoder-based deep learning model for solving the sparsity issues of Multi-Criteria Recommender System
Ishwari Singh Rajput, Anand Shanker Tewari, Arvind Kumar Tiwari
Procedia Computer Science (2024) Vol. 235, pp. 414-425
Open Access | Times Cited: 5
Ishwari Singh Rajput, Anand Shanker Tewari, Arvind Kumar Tiwari
Procedia Computer Science (2024) Vol. 235, pp. 414-425
Open Access | Times Cited: 5
Graph Condensation for Inductive Node Representation Learning
Xinyi Gao, Tong Chen, Yilong Zang, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 3056-3069
Open Access | Times Cited: 5
Xinyi Gao, Tong Chen, Yilong Zang, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 3056-3069
Open Access | Times Cited: 5
