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:
Hierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling
Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, et al.
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 33, Iss. 5, pp. 2195-2207
Open Access | Times Cited: 51
Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, et al.
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 33, Iss. 5, pp. 2195-2207
Open Access | Times Cited: 51
Showing 1-25 of 51 citing articles:
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities
Chuang Liu, Yibing Zhan, Jia Wu, et al.
(2023), pp. 6712-6722
Open Access | Times Cited: 45
Chuang Liu, Yibing Zhan, Jia Wu, et al.
(2023), pp. 6712-6722
Open Access | Times Cited: 45
Understanding Pooling in Graph Neural Networks
Daniele Grattarola, Daniele Zambon, Filippo Maria Bianchi, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 2, pp. 2708-2718
Open Access | Times Cited: 58
Daniele Grattarola, Daniele Zambon, Filippo Maria Bianchi, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 2, pp. 2708-2718
Open Access | Times Cited: 58
Attention-aware temporal–spatial graph neural network with multi-sensor information fusion for fault diagnosis
Zhe Wang, Zhiying Wu, Xingqiu Li, et al.
Knowledge-Based Systems (2023) Vol. 278, pp. 110891-110891
Closed Access | Times Cited: 37
Zhe Wang, Zhiying Wu, Xingqiu Li, et al.
Knowledge-Based Systems (2023) Vol. 278, pp. 110891-110891
Closed Access | Times Cited: 37
Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network
Wenxuan Tu, Bin Xiao, Xinwang Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 2, pp. 3244-3257
Open Access | Times Cited: 5
Wenxuan Tu, Bin Xiao, Xinwang Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 2, pp. 3244-3257
Open Access | Times Cited: 5
State of the Art and Potentialities of Graph-level Learning
Zhenyu Yang, Ge Zhang, Jia Wu, et al.
ACM Computing Surveys (2024)
Open Access | Times Cited: 5
Zhenyu Yang, Ge Zhang, Jia Wu, et al.
ACM Computing Surveys (2024)
Open Access | Times Cited: 5
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks
Chuang Liu, Xueqi Ma, Yibing Zhan, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 10, pp. 14903-14917
Open Access | Times Cited: 13
Chuang Liu, Xueqi Ma, Yibing Zhan, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 10, pp. 14903-14917
Open Access | Times Cited: 13
Learning Hierarchical Graph Neural Networks for Image Clustering
Yifan Xing, Tong He, Tianjun Xiao, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 27
Yifan Xing, Tong He, Tianjun Xiao, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 27
Dynamic Hypergraph Convolutional Network
Nan Yin, Fuli Feng, Zhigang Luo, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2022), pp. 1621-1634
Closed Access | Times Cited: 21
Nan Yin, Fuli Feng, Zhigang Luo, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2022), pp. 1621-1634
Closed Access | Times Cited: 21
Superpixel perception graph neural network for intelligent defect detection of aero-engine blade
Hongbing Shang, Qixiu Yang, Chuang Sun, et al.
Journal of Manufacturing Systems (2024) Vol. 77, pp. 112-126
Closed Access | Times Cited: 3
Hongbing Shang, Qixiu Yang, Chuang Sun, et al.
Journal of Manufacturing Systems (2024) Vol. 77, pp. 112-126
Closed Access | Times Cited: 3
Mincut pooling in Graph Neural Networks.
Filippo Maria Bianchi, Daniele Grattarola, Cesare Alippi
(2019)
Closed Access | Times Cited: 33
Filippo Maria Bianchi, Daniele Grattarola, Cesare Alippi
(2019)
Closed Access | Times Cited: 33
Composite Graph Neural Networks for Molecular Property Prediction
Pietro Bongini, Niccoló Pancino, Asma Bendjeddou, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 12, pp. 6583-6583
Open Access | Times Cited: 3
Pietro Bongini, Niccoló Pancino, Asma Bendjeddou, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 12, pp. 6583-6583
Open Access | Times Cited: 3
Supervised Contrastive Learning With Structure Inference for Graph Classification
Junzhong Ji, Jia Hao, Yating Ren, et al.
IEEE Transactions on Network Science and Engineering (2023) Vol. 10, Iss. 3, pp. 1684-1695
Open Access | Times Cited: 8
Junzhong Ji, Jia Hao, Yating Ren, et al.
IEEE Transactions on Network Science and Engineering (2023) Vol. 10, Iss. 3, pp. 1684-1695
Open Access | Times Cited: 8
K-plex cover pooling for graph neural networks
Davide Bacciu, Alessio Conte, Roberto Grossi, et al.
Data Mining and Knowledge Discovery (2021) Vol. 35, Iss. 5, pp. 2200-2220
Open Access | Times Cited: 13
Davide Bacciu, Alessio Conte, Roberto Grossi, et al.
Data Mining and Knowledge Discovery (2021) Vol. 35, Iss. 5, pp. 2200-2220
Open Access | Times Cited: 13
Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification
Rakshith Sharma Srinivasa, Cao Xiao, Lucas M. Glass, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 13
Rakshith Sharma Srinivasa, Cao Xiao, Lucas M. Glass, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 13
BioGNN: How Graph Neural Networks Can Solve Biological Problems
Pietro Bongini, Niccoló Pancino, Franco Scarselli, et al.
Intelligent systems reference library (2022), pp. 211-231
Closed Access | Times Cited: 8
Pietro Bongini, Niccoló Pancino, Franco Scarselli, et al.
Intelligent systems reference library (2022), pp. 211-231
Closed Access | Times Cited: 8
Text Classification Using Document-Relational Graph Convolutional Networks
Chongyi Liu, Xiangyu Wang, Honglei Xu
IEEE Access (2022) Vol. 10, pp. 123205-123211
Open Access | Times Cited: 8
Chongyi Liu, Xiangyu Wang, Honglei Xu
IEEE Access (2022) Vol. 10, pp. 123205-123211
Open Access | Times Cited: 8
Self-supervised robust Graph Neural Networks against noisy graphs and noisy labels
Jinliang Yuan, Hualei Yu, Meng Cao, et al.
Applied Intelligence (2023) Vol. 53, Iss. 21, pp. 25154-25170
Closed Access | Times Cited: 4
Jinliang Yuan, Hualei Yu, Meng Cao, et al.
Applied Intelligence (2023) Vol. 53, Iss. 21, pp. 25154-25170
Closed Access | Times Cited: 4
Efficient Solutions for Large-Scale Max-Cut Problems: A Hybrid Local Search Heuristic Approach and Comparative Analysis with Quantum Annealing
Haibo Wang, Bahram Alidaee, Lütfü S. Sua
(2024)
Open Access | Times Cited: 1
Haibo Wang, Bahram Alidaee, Lütfü S. Sua
(2024)
Open Access | Times Cited: 1
Efficient Solutions for Large-Scale Max-Cut Problems: A Hybrid Local Search Heuristic Approach and Comparative Analysis with Quantum Annealing
Haibo Wang, Bahram Alidaee, Lütfü S. Sua
(2024)
Open Access | Times Cited: 1
Haibo Wang, Bahram Alidaee, Lütfü S. Sua
(2024)
Open Access | Times Cited: 1
Graph pooling in graph neural networks: methods and their applications in omics studies
Yan Wang, Wenju Hou, Nan Sheng, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 1
Yan Wang, Wenju Hou, Nan Sheng, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 1
Drug Side Effect Prediction with Deep Learning Molecular Embedding in a Graph-of-Graphs Domain
Niccoló Pancino, Yohann Perron, Pietro Bongini, et al.
Mathematics (2022) Vol. 10, Iss. 23, pp. 4550-4550
Open Access | Times Cited: 6
Niccoló Pancino, Yohann Perron, Pietro Bongini, et al.
Mathematics (2022) Vol. 10, Iss. 23, pp. 4550-4550
Open Access | Times Cited: 6
Hierarchical Graph Learning for Stock Market Prediction Via a Domain-Aware Graph Pooling Operator
Arie N. Arya, Yao Xu, Ljubiša Stanković, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Closed Access | Times Cited: 3
Arie N. Arya, Yao Xu, Ljubiša Stanković, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Closed Access | Times Cited: 3
Generalizing Downsampling from Regular Data to Graphs
Davide Bacciu, Alessio Conte, Francesco Landolfi
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 6, pp. 6718-6727
Open Access | Times Cited: 3
Davide Bacciu, Alessio Conte, Francesco Landolfi
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 6, pp. 6718-6727
Open Access | Times Cited: 3
Multi-scale Graph Pooling Approach with Adaptive Key Subgraph for Graph Representations
Yiqin Lv, Zhiliang Tian, Zheng Xie, et al.
(2023), pp. 1736-1745
Closed Access | Times Cited: 3
Yiqin Lv, Zhiliang Tian, Zheng Xie, et al.
(2023), pp. 1736-1745
Closed Access | Times Cited: 3
RFC-HyPGCN: A Runtime Sparse Feature Compress Accelerator for Skeleton-Based GCNs Action Recognition Model with Hybrid Pruning
Dong Wen, Jingfei Jiang, Jinwei Xu, et al.
(2021), pp. 33-40
Open Access | Times Cited: 8
Dong Wen, Jingfei Jiang, Jinwei Xu, et al.
(2021), pp. 33-40
Open Access | Times Cited: 8
