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:
Label Efficient Semi-Supervised Learning via Graph Filtering
Qimai Li, Xiao-Ming Wu, Han Liu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 9574-9583
Open Access | Times Cited: 154
Qimai Li, Xiao-Ming Wu, Han Liu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 9574-9583
Open Access | Times Cited: 154
Showing 1-25 of 154 citing articles:
Simplifying Graph Convolutional Networks
Felix Wu, Tianyi Zhang, Amauri H. Souza, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 1170
Felix Wu, Tianyi Zhang, Amauri H. Souza, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 1170
Attributed Graph Clustering via Adaptive Graph Convolution
Xiaotong Zhang, Han Liu, Qimai Li, et al.
(2019), pp. 4327-4333
Open Access | Times Cited: 226
Xiaotong Zhang, Han Liu, Qimai Li, et al.
(2019), pp. 4327-4333
Open Access | Times Cited: 226
Graph-Based Semi-Supervised Learning: A Comprehensive Review
Zixing Song, Xiangli Yang, Zenglin Xu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 11, pp. 8174-8194
Open Access | Times Cited: 170
Zixing Song, Xiangli Yang, Zenglin Xu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 11, pp. 8174-8194
Open Access | Times Cited: 170
MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks
Bo Jiang, Si Chen, Beibei Wang, et al.
Neural Networks (2022) Vol. 153, pp. 204-214
Closed Access | Times Cited: 136
Bo Jiang, Si Chen, Beibei Wang, et al.
Neural Networks (2022) Vol. 153, pp. 204-214
Closed Access | Times Cited: 136
Neighbor Contrastive Learning on Learnable Graph Augmentation
Xiao Shen, Dewang Sun, Shirui Pan, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 8, pp. 9782-9791
Open Access | Times Cited: 55
Xiao Shen, Dewang Sun, Shirui Pan, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 8, pp. 9782-9791
Open Access | Times Cited: 55
Self-Supervised Graph Completion for Incomplete Multi-View Clustering
Cheng Liu, Si Wu, Rui Li, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 9, pp. 9394-9406
Closed Access | Times Cited: 49
Cheng Liu, Si Wu, Rui Li, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 9, pp. 9394-9406
Closed Access | Times Cited: 49
Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection
Kaihua Zhang, Tengpeng Li, Shiwen Shen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 9047-9056
Open Access | Times Cited: 94
Kaihua Zhang, Tengpeng Li, Shiwen Shen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 9047-9056
Open Access | Times Cited: 94
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework
Cheng Yang, Jiawei Liu, Chuan Shi
(2021)
Open Access | Times Cited: 79
Cheng Yang, Jiawei Liu, Chuan Shi
(2021)
Open Access | Times Cited: 79
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution
Quanyu Dai, Xiao-Ming Wu, Jiaren Xiao, et al.
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-1
Open Access | Times Cited: 57
Quanyu Dai, Xiao-Ming Wu, Jiaren Xiao, et al.
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-1
Open Access | Times Cited: 57
BARS
Jieming Zhu, Quanyu Dai, Liangcai Su, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2022), pp. 2912-2923
Closed Access | Times Cited: 53
Jieming Zhu, Quanyu Dai, Liangcai Su, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2022), pp. 2912-2923
Closed Access | Times Cited: 53
Predicting miRNA-Disease Association Based on Neural Inductive Matrix Completion with Graph Autoencoders and Self-Attention Mechanism
Chen Jin, Zhuangwei Shi, Ken Lin, et al.
Biomolecules (2022) Vol. 12, Iss. 1, pp. 64-64
Open Access | Times Cited: 39
Chen Jin, Zhuangwei Shi, Ken Lin, et al.
Biomolecules (2022) Vol. 12, Iss. 1, pp. 64-64
Open Access | Times Cited: 39
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
Yixin Liu, Yizhen Zheng, Daokun Zhang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 4, pp. 4516-4524
Open Access | Times Cited: 32
Yixin Liu, Yizhen Zheng, Daokun Zhang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 4, pp. 4516-4524
Open Access | Times Cited: 32
Robust graph structure learning under heterophily
Xuanting Xie, Wenyu Chen, Zhao Kang
Neural Networks (2025) Vol. 185, pp. 107206-107206
Open Access | Times Cited: 1
Xuanting Xie, Wenyu Chen, Zhao Kang
Neural Networks (2025) Vol. 185, pp. 107206-107206
Open Access | Times Cited: 1
Adversarial Deep Network Embedding for Cross-Network Node Classification
Xiao Shen, Quanyu Dai, Fu-Lai Chung, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2020) Vol. 34, Iss. 03, pp. 2991-2999
Open Access | Times Cited: 67
Xiao Shen, Quanyu Dai, Fu-Lai Chung, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2020) Vol. 34, Iss. 03, pp. 2991-2999
Open Access | Times Cited: 67
GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding
Chenhui Deng, Zhiqiang Zhao, Yongyu Wang, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 59
Chenhui Deng, Zhiqiang Zhao, Yongyu Wang, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 59
Combining Graph Convolutional Neural Networks and Label Propagation
Hongwei Wang, Jure Leskovec
ACM transactions on office information systems (2021) Vol. 40, Iss. 4, pp. 1-27
Open Access | Times Cited: 50
Hongwei Wang, Jure Leskovec
ACM transactions on office information systems (2021) Vol. 40, Iss. 4, pp. 1-27
Open Access | Times Cited: 50
GraphHop: An Enhanced Label Propagation Method for Node Classification
Tian Xie, Bin Wang, C.‐C. Jay Kuo
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 11, pp. 9287-9301
Open Access | Times Cited: 38
Tian Xie, Bin Wang, C.‐C. Jay Kuo
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 11, pp. 9287-9301
Open Access | Times Cited: 38
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning
Kaize Ding, Jianling Wang, James Caverlee, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 6, pp. 6524-6531
Open Access | Times Cited: 32
Kaize Ding, Jianling Wang, James Caverlee, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 6, pp. 6524-6531
Open Access | Times Cited: 32
Learning Strong Graph Neural Networks with Weak Information
Yixin Liu, Kaize Ding, Jianling Wang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 1559-1571
Open Access | Times Cited: 20
Yixin Liu, Kaize Ding, Jianling Wang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 1559-1571
Open Access | Times Cited: 20
Multi-Agent Safe Graph Reinforcement Learning for PV Inverters-Based Real-Time Decentralized Volt/Var Control in Zoned Distribution Networks
Rudai Yan, Qiang Xing, Yan Xu
IEEE Transactions on Smart Grid (2023) Vol. 15, Iss. 1, pp. 299-311
Closed Access | Times Cited: 17
Rudai Yan, Qiang Xing, Yan Xu
IEEE Transactions on Smart Grid (2023) Vol. 15, Iss. 1, pp. 299-311
Closed Access | Times Cited: 17
Semi-supervised medical image classification via distance correlation minimization and graph attention regularization
Abel Díaz Berenguer, Maryna Kvasnytsia, Matías Nicolás Bossa, et al.
Medical Image Analysis (2024) Vol. 94, pp. 103107-103107
Closed Access | Times Cited: 6
Abel Díaz Berenguer, Maryna Kvasnytsia, Matías Nicolás Bossa, et al.
Medical Image Analysis (2024) Vol. 94, pp. 103107-103107
Closed Access | Times Cited: 6
Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering
Zichen Wen, Yawen Ling, Yazhou Ren, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 14, pp. 15841-15849
Open Access | Times Cited: 6
Zichen Wen, Yawen Ling, Yazhou Ren, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 14, pp. 15841-15849
Open Access | Times Cited: 6
Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data
Wanyu Lin, Zhaolin Gao, Baochun Li
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 4173-4181
Closed Access | Times Cited: 41
Wanyu Lin, Zhaolin Gao, Baochun Li
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 4173-4181
Closed Access | Times Cited: 41
Rethinking Graph Regularization for Graph Neural Networks
Han Yang, Kaili Ma, James Cheng
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 5, pp. 4573-4581
Open Access | Times Cited: 37
Han Yang, Kaili Ma, James Cheng
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 5, pp. 4573-4581
Open Access | Times Cited: 37
