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OpenAlex Citation Counts

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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:

TGNN: A Joint Semi-supervised Framework for Graph-level Classification
Wei Ju, Xiao Luo, Meng Qu, et al.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (2022)
Open Access | Times Cited: 29

Showing 1-25 of 29 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
Learning Graph ODE for Continuous-Time Sequential Recommendation
Yifang Qin, Wei Ju, Hongjun Wu, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 7, pp. 3224-3236
Open Access | Times Cited: 24
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting
Wei Ju, Yusheng Zhao, Yifang Qin, et al.
Information Fusion (2024) Vol. 107, pp. 102341-102341
Open Access | Times Cited: 18
GLCC: A General Framework for Graph-Level Clustering
Lili Ju, Yiyang Gu, Binqi Chen, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 4, pp. 4391-4399
Open Access | Times Cited: 31
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering
Siyu Yi, Wei Ju, Yifang Qin, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 12, pp. 18313-18327
Open Access | Times Cited: 19
GPS: graph contrastive learning via multi-scale augmented views from adversarial pooling
Ju Wei, Yiyang Gu, Zhengyang Mao, et al.
Science China Information Sciences (2024) Vol. 68, Iss. 1
Closed Access | Times Cited: 7
RHGNN: Fake reviewer detection based on reinforced heterogeneous graph neural networks
Jun Zhao, Minglai Shao, Hailiang Tang, et al.
Knowledge-Based Systems (2023) Vol. 280, pp. 111029-111029
Closed Access | Times Cited: 14
Focus on informative graphs! Semi-supervised active learning for graph-level classification
Wei Ju, Zhengyang Mao, Ziyue Qiao, et al.
Pattern Recognition (2024) Vol. 153, pp. 110567-110567
Closed Access | Times Cited: 5
Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling
Xiao Luo, Wei Ju, Yiyang Gu, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2023) Vol. 20, Iss. 3, pp. 1-19
Open Access | Times Cited: 12
Supervised contrastive learning for graph representation enhancement
Mohadeseh Ghayekhloo, Ahmad Nickabadi
Neurocomputing (2024) Vol. 588, pp. 127710-127710
Closed Access | Times Cited: 4
TDF-Net: Trusted Dynamic Feature Fusion Network for breast cancer diagnosis using incomplete multimodal ultrasound
Pengfei Yan, Wushuang Gong, Minglei Li, et al.
Information Fusion (2024) Vol. 112, pp. 102592-102592
Closed Access | Times Cited: 4
Kernel-based Substructure Exploration for Next POI Recommendation
Wei Ju, Yifang Qin, Ziyue Qiao, et al.
2021 IEEE International Conference on Data Mining (ICDM) (2022), pp. 221-230
Open Access | Times Cited: 19
Mutual-support generalized category discovery
Yu Duan, Zhanxuan Hu, Rong Wang, et al.
Information Fusion (2025), pp. 103020-103020
Closed Access
BP-MoE: Behavior Pattern-aware Mixture-of-Experts for Temporal Graph Representation Learning
Chonghao Chen, Fei Cai, Wanyu Chen, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112056-112056
Closed Access | Times Cited: 3
GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation
Junyu Luo, Yiyang Gu, Xiao Luo, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 9038-9051
Open Access | Times Cited: 3
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts
Siyu Yi, Zhengyang Mao, Wei Ju, et al.
IEEE Transactions on Big Data (2023) Vol. 9, Iss. 6, pp. 1683-1696
Open Access | Times Cited: 6
New approach for learning structured graph with Laplacian rank constraint
Yu Duan, Feiping Nie, Rong Wang, et al.
Neurocomputing (2024) Vol. 598, pp. 128065-128065
Closed Access | Times Cited: 1
Graph Batch Coarsening framework for scalable graph neural networks
Shengzhong Zhang, Yimin D. Zhang, Bisheng Li, et al.
Neural Networks (2024) Vol. 183, pp. 106931-106931
Closed Access | Times Cited: 1
Graph neural network based on graph kernel: A survey
Lixiang Xu, Jin Peng, Xiaoyi Jiang, et al.
Pattern Recognition (2024), pp. 111307-111307
Closed Access | Times Cited: 1
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju, Zheng Fang, Yiyang Gu, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 3
Learning Graph ODE for Continuous-Time Sequential Recommendation
Yifang Qin, Lili Ju, Hongjun Wu, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 2
An efficient semi-supervised balanced cut with hard pairwise constraints and partial labels
Weizhong Yu, Liyin Xing, Feiping Nie, et al.
Knowledge-Based Systems (2023) Vol. 276, pp. 110747-110747
Closed Access | Times Cited: 2
Symbiotic Message Passing Model for Transfer Learning between Anti-Fungal and Anti-Bacterial Domains
Ronen Taub, Tanya Wasserman, Yonatan Savir
(2023), pp. 1-7
Open Access | Times Cited: 2
RSCC: Robust Semi-supervised Learning with Contrastive Learning and Augmentation Consistency Regularization
Xuehong Jing, Yongli Wang
Communications in computer and information science (2024), pp. 142-155
Closed Access
Harnessing collective structure knowledge in data augmentation for graph neural networks
Rongrong Ma, Guansong Pang, Ling Chen
Neural Networks (2024) Vol. 180, pp. 106651-106651
Open Access
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