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:
On the Effectiveness of Sampled Softmax Loss for Item Recommendation
Jiancan Wu, Xiang Wang, Xingyu Gao, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 8
Jiancan Wu, Xiang Wang, Xingyu Gao, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 8
Showing 8 citing articles:
Invariant Collaborative Filtering to Popularity Distribution Shift
An Zhang, Jingnan Zheng, Xiang Wang, et al.
Proceedings of the ACM Web Conference 2022 (2023)
Open Access | Times Cited: 25
An Zhang, Jingnan Zheng, Xiang Wang, et al.
Proceedings of the ACM Web Conference 2022 (2023)
Open Access | Times Cited: 25
GIF: A General Graph Unlearning Strategy via Influence Function
Jiancan Wu, Yi Yang, Yuchun Qian, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 651-661
Open Access | Times Cited: 13
Jiancan Wu, Yi Yang, Yuchun Qian, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 651-661
Open Access | Times Cited: 13
Adaptive Hardness Negative Sampling for Collaborative Filtering
Riwei Lai, Rui Chen, Qilong Han, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 8, pp. 8645-8652
Open Access | Times Cited: 4
Riwei Lai, Rui Chen, Qilong Han, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 8, pp. 8645-8652
Open Access | Times Cited: 4
Scaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss Functions
Timo Wilm, Philipp Normann, Sophie Baumeister, et al.
(2023), pp. 1023-1026
Open Access | Times Cited: 8
Timo Wilm, Philipp Normann, Sophie Baumeister, et al.
(2023), pp. 1023-1026
Open Access | Times Cited: 8
Test-Time Embedding Normalization for Popularity Bias Mitigation
Dain Kim, Jinhyeok Park, Dongwoo Kim
(2023), pp. 4023-4027
Open Access | Times Cited: 4
Dain Kim, Jinhyeok Park, Dongwoo Kim
(2023), pp. 4023-4027
Open Access | Times Cited: 4
Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems
Timo Wilm, Philipp Normann, Felix Stepprath
(2024), pp. 809-812
Open Access
Timo Wilm, Philipp Normann, Felix Stepprath
(2024), pp. 809-812
Open Access
Revisiting LightGCN: Unexpected Inflexibility, Inconsistency, and A Remedy Towards Improved Recommendation
Geon Lee, Kyung-Ho Kim, Kijung Shin
(2024), pp. 957-962
Open Access
Geon Lee, Kyung-Ho Kim, Kijung Shin
(2024), pp. 957-962
Open Access
Toward a Better Understanding of Loss Functions for Collaborative Filtering
Seongmin Park, Mincheol Yoon, Jae-woong Lee, et al.
arXiv (Cornell University) (2023)
Open Access
Seongmin Park, Mincheol Yoon, Jae-woong Lee, et al.
arXiv (Cornell University) (2023)
Open Access
