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:

Graph Representation Learning
William L. Hamilton
Synthesis lectures on artificial intelligence and machine learning (2020) Vol. 14, Iss. 3, pp. 1-159
Closed Access | Times Cited: 271

Showing 1-25 of 271 citing articles:

Explainability in Graph Neural Networks: A Taxonomic Survey
Hao Yuan, Haiyang Yu, Shurui Gui, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), pp. 1-19
Open Access | Times Cited: 314
Self-Supervised Learning of Graph Neural Networks: A Unified Review
Yaochen Xie, Xu Zhao, Jingtun Zhang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 2, pp. 2412-2429
Open Access | Times Cited: 218
Deep Learning with Graph Convolutional Networks: An Overview and Latest Applications in Computational Intelligence
Uzair Aslam Bhatti, Hao Tang, Guilu Wu, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-28
Open Access | Times Cited: 185
Graph representation learning in biomedicine and healthcare
Michelle M. Li, Kexin Huang, Marinka Žitnik
Nature Biomedical Engineering (2022) Vol. 6, Iss. 12, pp. 1353-1369
Open Access | Times Cited: 160
ETA Prediction with Graph Neural Networks in Google Maps
Austin Derrow-Pinion, Jennifer She, David Wong, et al.
(2021), pp. 3767-3776
Open Access | Times Cited: 149
The Impact and Limitations of Artificial Intelligence in Cybersecurity: A Literature Review
Meraj Farheen Ansari, Bibhu Dash, Pawankumar Sharma, et al.
IJARCCE (2022) Vol. 11, Iss. 9
Open Access | Times Cited: 126
A machine learning approach for predicting hidden links in supply chain with graph neural networks
Edward Elson Kosasih, Alexandra Brintrup
International Journal of Production Research (2021) Vol. 60, Iss. 17, pp. 5380-5393
Open Access | Times Cited: 113
Graph Neural Networks for Intelligent Transportation Systems: A Survey
Saeed Rahmani, Asiye Baghbani, Nizar Bouguila, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 8, pp. 8846-8885
Open Access | Times Cited: 81
A GNN-Based Supervised Learning Framework for Resource Allocation in Wireless IoT Networks
Tianrui Chen, Xinruo Zhang, Minglei You, et al.
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 3, pp. 1712-1724
Open Access | Times Cited: 75
Graph Anomaly Detection With Graph Neural Networks: Current Status and Challenges
Hwan Kim, Byung Suk Lee, Won-Yong Shin, et al.
IEEE Access (2022) Vol. 10, pp. 111820-111829
Open Access | Times Cited: 59
Graph Representation Learning Meets Computer Vision: A Survey
Licheng Jiao, Jie Chen, Fang Liu, et al.
IEEE Transactions on Artificial Intelligence (2022) Vol. 4, Iss. 1, pp. 2-22
Closed Access | Times Cited: 50
Structural Robustness of Complex Networks: A Survey of A Posteriori Measures [Feature]
Yang Lou, Lin Wang, Guanrong Chen
IEEE Circuits and Systems Magazine (2023) Vol. 23, Iss. 1, pp. 12-35
Open Access | Times Cited: 38
Node Connection Strength Matrix-Based Graph Convolution Network for Traffic Flow Prediction
Jian Chen, Wei Wang, Keping Yu, et al.
IEEE Transactions on Vehicular Technology (2023) Vol. 72, Iss. 9, pp. 12063-12074
Closed Access | Times Cited: 33
Multi-View Bipartite Graph Clustering With Coupled Noisy Feature Filter
Liang Li, Junpu Zhang, Siwei Wang, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 12, pp. 12842-12854
Closed Access | Times Cited: 29
Dynamic Dense Graph Convolutional Network for Skeleton-Based Human Motion Prediction
Xinshun Wang, W. Zhang, Can Wang, et al.
IEEE Transactions on Image Processing (2023) Vol. 33, pp. 1-15
Open Access | Times Cited: 28
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis
Maciej Besta, Torsten Hoefler
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 5, pp. 2584-2606
Open Access | Times Cited: 14
Tree Decomposed Graph Neural Network
Yu Wang, Tyler Derr
(2021), pp. 2040-2049
Open Access | Times Cited: 43
Learning Cosmology and Clustering with Cosmic Graphs
Pablo Villanueva-Domingo, Francisco Villaescusa-Navarro
The Astrophysical Journal (2022) Vol. 937, Iss. 2, pp. 115-115
Open Access | Times Cited: 37
Bag-of-Words vs. Graph vs. Sequence in Text Classification: Questioning the Necessity of Text-Graphs and the Surprising Strength of a Wide MLP
Lukas Galke, Ansgar Scherp
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022), pp. 4038-4051
Open Access | Times Cited: 31
Knowledge graphs: Introduction, history, and perspectives
Vinay K. Chaudhri, Chaitanya Baru, Naren Chittar, et al.
AI Magazine (2022) Vol. 43, Iss. 1, pp. 17-29
Open Access | Times Cited: 30
Deep learning criminal networks
Haroldo V. Ribeiro, Diego D. Lopes, Arthur A. B. Pessa, et al.
Chaos Solitons & Fractals (2023) Vol. 172, pp. 113579-113579
Open Access | Times Cited: 20
Context-Aware Self-Supervised Learning of Whole Slide Images
Milan Aryal, Nasim Soltani
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 8, pp. 4111-4120
Open Access | Times Cited: 6
The topological Dirac equation of networks and simplicial complexes
Ginestra Bianconi
Journal of Physics Complexity (2021) Vol. 2, Iss. 3, pp. 035022-035022
Open Access | Times Cited: 39
Designing and Building Enterprise Knowledge Graphs
Juan Sequeda, Ora Lassila
Synthesis lectures on data, semantics and knowledge (2021) Vol. 11, Iss. 1, pp. 1-165
Closed Access | Times Cited: 33
Encrypted Malware Traffic Detection via Graph-based Network Analysis
Zhuoqun Fu, Mingxuan Liu, Yue Qin, et al.
(2022), pp. 495-509
Open Access | Times Cited: 25
Page 1 - Next Page

Scroll to top