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:
Graph Structure Learning with Variational Information Bottleneck
Qingyun Sun, Jianxin Li, Hao Peng, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 4, pp. 4165-4174
Open Access | Times Cited: 91
Qingyun Sun, Jianxin Li, Hao Peng, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 4, pp. 4165-4174
Open Access | Times Cited: 91
Showing 1-25 of 91 citing articles:
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju, Zheng Fang, Yiyang Gu, et al.
Neural Networks (2024) Vol. 173, pp. 106207-106207
Open Access | Times Cited: 133
Wei Ju, Zheng Fang, Yiyang Gu, et al.
Neural Networks (2024) Vol. 173, pp. 106207-106207
Open Access | Times Cited: 133
SNIB: Improving Spike-Based Machine Learning Using Nonlinear Information Bottleneck
Shuangming Yang, Badong Chen
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 12, pp. 7852-7863
Closed Access | Times Cited: 69
Shuangming Yang, Badong Chen
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 12, pp. 7852-7863
Closed Access | Times Cited: 69
A Survey on Deep Learning Event Extraction: Approaches and Applications
Qian Li, Jianxin Li, Jiawei Sheng, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 5, pp. 6301-6321
Open Access | Times Cited: 46
Qian Li, Jianxin Li, Jiawei Sheng, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 5, pp. 6301-6321
Open Access | Times Cited: 46
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling
Shengqiong Wu, Hao Fei, Yixin Cao, et al.
(2023)
Open Access | Times Cited: 38
Shengqiong Wu, Hao Fei, Yixin Cao, et al.
(2023)
Open Access | Times Cited: 38
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization
Dongcheng Zou, Hao Peng, Xiang Huang, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 499-510
Open Access | Times Cited: 24
Dongcheng Zou, Hao Peng, Xiang Huang, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 499-510
Open Access | Times Cited: 24
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: 12
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: 12
A Survey on Information Bottleneck
Shizhe Hu, Zhengzheng Lou, Xiaoqiang Yan, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 8, pp. 5325-5344
Closed Access | Times Cited: 11
Shizhe Hu, Zhengzheng Lou, Xiaoqiang Yan, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 8, pp. 5325-5344
Closed Access | Times Cited: 11
InsGNN: Interpretable spatio–temporal graph neural networks via information bottleneck
Hui Fang, Haishuai Wang, Yang Gao, et al.
Information Fusion (2025), pp. 102997-102997
Closed Access | Times Cited: 1
Hui Fang, Haishuai Wang, Yang Gao, et al.
Information Fusion (2025), pp. 102997-102997
Closed Access | Times Cited: 1
Dynamic adaptive spatio-temporal graph neural network for multi-node offshore wind speed forecasting
Ziheng Gao, Zhuolin Li, Lingyu Xu, et al.
Applied Soft Computing (2023) Vol. 141, pp. 110294-110294
Closed Access | Times Cited: 18
Ziheng Gao, Zhuolin Li, Lingyu Xu, et al.
Applied Soft Computing (2023) Vol. 141, pp. 110294-110294
Closed Access | Times Cited: 18
MADM: A Model-agnostic Denoising Module for Graph-based Social Recommendation
Wenze Ma, Y Wang, Yanmin Zhu, et al.
(2024), pp. 501-509
Closed Access | Times Cited: 8
Wenze Ma, Y Wang, Yanmin Zhu, et al.
(2024), pp. 501-509
Closed Access | Times Cited: 8
Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation
Yiming Zhang, Lingfei Wu, Qi Shen, et al.
ACM Transactions on Recommender Systems (2023) Vol. 1, Iss. 4, pp. 1-22
Open Access | Times Cited: 14
Yiming Zhang, Lingfei Wu, Qi Shen, et al.
ACM Transactions on Recommender Systems (2023) Vol. 1, Iss. 4, pp. 1-22
Open Access | Times Cited: 14
Dynamic Graph Information Bottleneck
Haonan Yuan, Qingyun Sun, Xingcheng Fu, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 469-480
Open Access | Times Cited: 6
Haonan Yuan, Qingyun Sun, Xingcheng Fu, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 469-480
Open Access | Times Cited: 6
Spatial-Temporal Dynamic Hypergraph Information Bottleneck for Brain Network Classification
Changxu Dong, Dengdi Sun
International Journal of Neural Systems (2024) Vol. 34, Iss. 10
Closed Access | Times Cited: 5
Changxu Dong, Dengdi Sun
International Journal of Neural Systems (2024) Vol. 34, Iss. 10
Closed Access | Times Cited: 5
A Multifaceted Reasoning Network for Explainable Fake News Detection
L.H. Han, Xiaoming Zhang, Ziyi Zhou, et al.
Information Processing & Management (2024) Vol. 61, Iss. 6, pp. 103822-103822
Closed Access | Times Cited: 5
L.H. Han, Xiaoming Zhang, Ziyi Zhou, et al.
Information Processing & Management (2024) Vol. 61, Iss. 6, pp. 103822-103822
Closed Access | Times Cited: 5
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing
Qingyun Sun, Jianxin Li, Haonan Yuan, et al.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2022)
Open Access | Times Cited: 21
Qingyun Sun, Jianxin Li, Haonan Yuan, et al.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2022)
Open Access | Times Cited: 21
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks
Chuang Liu, Xueqi Ma, Yibing Zhan, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 10, pp. 14903-14917
Open Access | Times Cited: 13
Chuang Liu, Xueqi Ma, Yibing Zhan, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 10, pp. 14903-14917
Open Access | Times Cited: 13
Homophily-oriented Heterogeneous Graph Rewiring
Jiayan Guo, Lun Du, Wendong Bi, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 511-522
Open Access | Times Cited: 12
Jiayan Guo, Lun Du, Wendong Bi, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 511-522
Open Access | Times Cited: 12
GOODAT: Towards Test-Time Graph Out-of-Distribution Detection
Luzhi Wang, Dongxiao He, He Zhang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 14, pp. 15537-15545
Open Access | Times Cited: 4
Luzhi Wang, Dongxiao He, He Zhang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 14, pp. 15537-15545
Open Access | Times Cited: 4
Challenging Low Homophily in Social Recommendation
Wei Jiang, Xinyi Gao, Guandong Xu, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 3476-3484
Open Access | Times Cited: 4
Wei Jiang, Xinyi Gao, Guandong Xu, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 3476-3484
Open Access | Times Cited: 4
Graph Augmentation for Recommendation
Qianru Zhang, Lianghao Xia, Xuheng Cai, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 557-569
Open Access | Times Cited: 4
Qianru Zhang, Lianghao Xia, Xuheng Cai, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 557-569
Open Access | Times Cited: 4
AdpSTGCN: Adaptive spatial–temporal graph convolutional network for traffic forecasting
Xudong Zhang, Xuewen Chen, Haina Tang, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112295-112295
Closed Access | Times Cited: 4
Xudong Zhang, Xuewen Chen, Haina Tang, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112295-112295
Closed Access | Times Cited: 4
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation
Yuecen Wei, Xingcheng Fu, Qingyun Sun, et al.
2021 IEEE International Conference on Data Mining (ICDM) (2022), pp. 528-537
Open Access | Times Cited: 17
Yuecen Wei, Xingcheng Fu, Qingyun Sun, et al.
2021 IEEE International Conference on Data Mining (ICDM) (2022), pp. 528-537
Open Access | Times Cited: 17
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling
Yuchen Fang, Kan Ren, Caihua Shan, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 6, pp. 7530-7538
Open Access | Times Cited: 10
Yuchen Fang, Kan Ren, Caihua Shan, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 6, pp. 7530-7538
Open Access | Times Cited: 10
Clustering matrix regularization guided hierarchical graph pooling
Zidong Wang, Yang Liu, Tingxuan Chen, et al.
Knowledge-Based Systems (2025), pp. 113108-113108
Closed Access
Zidong Wang, Yang Liu, Tingxuan Chen, et al.
Knowledge-Based Systems (2025), pp. 113108-113108
Closed Access
Unleashing the Power of Large Language Model for Denoising Recommendation
Shuyao Wang, Zhi Zheng, Yongduo Sui, et al.
(2025), pp. 252-263
Open Access
Shuyao Wang, Zhi Zheng, Yongduo Sui, et al.
(2025), pp. 252-263
Open Access
