Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Unsupervised graph-level representation learning with hierarchical contrasts
Wei Ju, Yiyang Gu, Xiao Luo, et al.
Neural Networks (2022) Vol. 158, pp. 359-368
Closed Access | Times Cited: 46

Showing 26-50 of 46 citing articles:

A retrospective prognostic evaluation using unsupervised learning in the treatment of COVID-19 patients with hypertension treated with ACEI/ARB drugs
Liye Ge, Yongjun Meng, Weina Ma, et al.
PeerJ (2024) Vol. 12, pp. e17340-e17340
Open Access | Times Cited: 1
CLSESSP: Contrastive learning of sentence embedding with strong semantic prototypes
Kaicheng Shen, Ping Li, Xiao Lin
Knowledge-Based Systems (2024) Vol. 299, pp. 112053-112053
Closed Access | Times Cited: 1
Unsupervised discriminative projection based on contrastive learning
Jingwen Yang, Hongjie Zhang, Ruojin Zhou, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112296-112296
Closed Access | Times Cited: 1
CGAD: A Novel Contrastive Learning-Based Framework for Anomaly Detection in Attributed Networks
Yun Wan, Dapeng Zhang, Dong Liu, et al.
Neurocomputing (2024) Vol. 609, pp. 128379-128379
Closed Access | Times Cited: 1
GMNI: Achieve good data augmentation in unsupervised graph contrastive learning
Xin Xiong, Xiangyu Wang, Suorong Yang, et al.
Neural Networks (2024) Vol. 181, pp. 106804-106804
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
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
A cross-modal clinical prediction system for intensive care unit patient outcome
Mengxuan Sun, Xuebing Yang, Jinghao Niu, et al.
Knowledge-Based Systems (2023) Vol. 283, pp. 111160-111160
Closed 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
Drug-target Interaction Prediction By Combining Transformer and Graph Neural Networks
Junkai Liu, Yaoyao Lu, Shixuan Guan, et al.
Current Bioinformatics (2023) Vol. 19, Iss. 4, pp. 316-326
Closed Access | Times Cited: 2
Deep graph-level clustering using pseudo-label-guided mutual information maximization network
Jinyu Cai, Yi Han, Wenzhong Guo, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 16, pp. 9551-9566
Closed Access
Advancement and Development of Graph-Based Reasoning Method for Human Malicious Behaviors Identification Based on Graph Contrastive Representation Learning
Zhan Li, Xingyu Song, Shi Chen, et al.
(2024)
Closed Access
Rumor detection based on Attention Graph Adversarial Dual Contrast Learning
Bing Zhang, Tao Liu, Zunwang Ke, et al.
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0290291-e0290291
Open Access
Long-tailed visual classification based on supervised contrastive learning with multi-view fusion
Liang Zeng, Zheng Feng, Jia Chen, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112301-112301
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
Backdoor attacks on unsupervised graph representation learning
Bingdao Feng, Di Jin, Xiaobao Wang, et al.
Neural Networks (2024) Vol. 180, pp. 106668-106668
Closed Access
A Sample-driven Selection Framework: Towards Graph Contrastive Networks with Reinforcement Learning
Xiangping Zheng, X Y Hao, Bo Wu, et al.
(2024), pp. 10755-10764
Closed Access
Implementing the discontinuous-Galerkin finite element method using graph neural networks with application to diffusion equations
Linfeng Li, Jiansheng Xiang, Boyang Chen, et al.
Neural Networks (2024) Vol. 185, pp. 107061-107061
Open Access
Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective
Yige Yuan, Bingbing Xu, Huawei Shen, et al.
(2023)
Open Access | Times Cited: 1
Object-stable unsupervised dual contrastive learning image-to-image translation with query-selected attention and convolutional block attention module
Yunseok Oh, Seonhye Oh, Sang-Woo Noh, et al.
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0293885-e0293885
Open Access | Times Cited: 1
Enhancing Heterogeneous Graph Contrastive Learning with Strongly Correlated Subgraphs
Yanxi Liu, Bo Lang
Lecture notes in computer science (2023), pp. 86-102
Closed Access
Previous Page - Page 2

Scroll to top