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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:

Learning Structural Node Embeddings via Diffusion Wavelets
Claire Donnat, Marinka Žitnik, David Hallac, et al.
(2018)
Open Access | Times Cited: 221

Showing 1-25 of 221 citing articles:

Self-supervised Learning: Generative or Contrastive
Xiao Liu, Fanjin Zhang, Zhenyu Hou, et al.
IEEE Transactions on Knowledge and Data Engineering (2021), pp. 1-1
Open Access | Times Cited: 655
GCC
Jiezhong Qiu, Qibin Chen, Yuxiao Dong, et al.
(2020)
Open Access | Times Cited: 585
Temporal Relational Ranking for Stock Prediction
Fuli Feng, Xiangnan He, Xiang Wang, et al.
ACM transactions on office information systems (2019) Vol. 37, Iss. 2, pp. 1-30
Open Access | Times Cited: 363
Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models
Benedek Rózemberczki, Rik Sarkar
(2020)
Open Access | Times Cited: 228
Deep Graph Infomax.
Petar Veličković, William Fedus, William L. Hamilton, et al.
arXiv (Cornell University) (2018)
Closed Access | Times Cited: 170
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
Jun Wu, Jingrui He, Jiejun Xu
(2019)
Open Access | Times Cited: 146
Identification of disease treatment mechanisms through the multiscale interactome
Camilo Ruiz, Marinka Žitnik, Jure Leskovec
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 113
Graph Neural Networks: Taxonomy, Advances, and Trends
Yu Zhou, Haixia Zheng, Xin Huang, et al.
ACM Transactions on Intelligent Systems and Technology (2022) Vol. 13, Iss. 1, pp. 1-54
Open Access | Times Cited: 80
Karate Club
Benedek Rózemberczki, Olivér Kiss, Rik Sarkar
(2020)
Open Access | Times Cited: 114
Deep attributed network representation learning of complex coupling and interaction
Zhao Li, Xin Wang, Jianxin Li, et al.
Knowledge-Based Systems (2020) Vol. 212, pp. 106618-106618
Closed Access | Times Cited: 106
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks
Xiang Zhang, Marinka Žitnik
arXiv (Cornell University) (2020)
Open Access | Times Cited: 99
Adversarial Graph Augmentation to Improve Graph Contrastive Learning
Susheel Suresh, Li Pan, Cong Hao, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 91
Survey on graph embeddings and their applications to machine learning problems on graphs
Ilya Makarov, Dmitrii Kiselev, Nikita Nikitinsky, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e357-e357
Open Access | Times Cited: 89
Heterogeneous Hypergraph Embedding for Graph Classification
Xiangguo Sun, Hongzhi Yin, Bo Liu, et al.
(2021), pp. 725-733
Open Access | Times Cited: 84
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning
Pan Li, Yanbang Wang, Hongwei Wang, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 77
Bike Sharing and Urban Mobility in a Post-Pandemic World
Francesco Pase, Federico Chiariotti, Andréa Zanella, et al.
IEEE Access (2020) Vol. 8, pp. 187291-187306
Open Access | Times Cited: 76
Measuring and Improving the Use of Graph Information in Graph Neural Networks
Yifan Hou, Jian Zhang, James Cheng, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 63
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns
Susheel Suresh, Vinith Budde, Jennifer Neville, et al.
(2021), pp. 1541-1551
Open Access | Times Cited: 60
Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding
Jingya Zhou, Ling Liu, Wenqi Wei, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 2, pp. 1-35
Open Access | Times Cited: 58
Filter-Informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault Diagnosis
Tianfu Li, Chuang Sun, Olga Fink, et al.
IEEE Transactions on Cybernetics (2023) Vol. 54, Iss. 1, pp. 506-518
Open Access | Times Cited: 30
Variational Graph Recurrent Neural Networks
Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 75
Network representation learning: a systematic literature review
Bentian Li, Dechang Pi
Neural Computing and Applications (2020) Vol. 32, Iss. 21, pp. 16647-16679
Closed Access | Times Cited: 67
k-hop graph neural networks
Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis
Neural Networks (2020) Vol. 130, pp. 195-205
Open Access | Times Cited: 67
Learning to Identify High Betweenness Centrality Nodes from Scratch
Changjun Fan, Li Zeng, Yuhui Ding, et al.
(2019), pp. 559-568
Closed Access | Times Cited: 57
A comparative study on network alignment techniques
Thanh Trung Huynh, Thanh Toan Nguyen, Tong Van Vinh, et al.
Expert Systems with Applications (2019) Vol. 140, pp. 112883-112883
Closed Access | Times Cited: 56
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