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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:

Stability of Graph Scattering Transforms
Fernando Gama, Joan Bruna, Alejandro Ribeiro
arXiv (Cornell University) (2019)
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Graph Neural Networks with Convolutional ARMA Filters
Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021), pp. 1-1
Open Access | Times Cited: 346
Graph Filters for Signal Processing and Machine Learning on Graphs
Elvin Isufi, Fernando Gama, David I Shuman, et al.
IEEE Transactions on Signal Processing (2024) Vol. 72, pp. 4745-4781
Open Access | Times Cited: 32
Gated Graph Recurrent Neural Networks
Luana Ruiz, Fernando Gama, Alejandro Ribeiro
IEEE Transactions on Signal Processing (2020) Vol. 68, pp. 6303-6318
Open Access | Times Cited: 126
Invariance-Preserving Localized Activation Functions for Graph Neural Networks
Luana Ruiz, Fernando Gama, Antonio G. Marqués, et al.
IEEE Transactions on Signal Processing (2019) Vol. 68, pp. 127-141
Open Access | Times Cited: 58
Transferability of Spectral Graph Convolutional Neural Networks
Ron Levie, Wei Huang, Lorenzo Bucci, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 43
Graphon Neural Networks and the Transferability of Graph Neural Networks
Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
arXiv (Cornell University) (2020)
Open Access | Times Cited: 40
Skeleton Graph Scattering Networks for 3D Skeleton-based Human Motion Prediction
Maosen Li, Siheng Chen, Zihui Liu, et al.
(2021), pp. 854-864
Closed Access | Times Cited: 24
Algebraic Neural Networks: Stability to Deformations
Alejandro Parada-Mayorga, Alejandro Ribeiro
IEEE Transactions on Signal Processing (2021) Vol. 69, pp. 3351-3366
Open Access | Times Cited: 22
Convergence and Stability of Graph Convolutional Networks on Large Random Graphs
Nicolas Keriven, Alberto Bietti, Samuel Vaiter
HAL (Le Centre pour la Communication Scientifique Directe) (2020)
Open Access | Times Cited: 15
Understanding Graph Neural Networks with Asymmetric Geometric Scattering Transforms
Michael Perlmutter, Feng Gao, Guy Wolf, et al.
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 11
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks.
Yimeng Min, Frederik Wenkel, Guy Wolf
PubMed (2020) Vol. 33, pp. 14498-14508
Closed Access | Times Cited: 11
On the Stability of Low Pass Graph Filter with a Large Number of Edge Rewires
Hoang-Son Nguyen, Yiran He, Hoi-To Wai
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022), pp. 5568-5572
Open Access | Times Cited: 7
Stability of Neural Networks on Manifolds to Relative Perturbations
Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022), pp. 5473-5477
Open Access | Times Cited: 7
Stability of Graph Neural Networks to Relative Perturbations
Fernando Gama, Alejandro Ribeiro, Joan Bruna
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2020), pp. 9070-9074
Open Access | Times Cited: 9
Geometric Scattering Attention Networks
Yimeng Min, Frederik Wenkel, Guy Wolf
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2021), pp. 8518-8522
Open Access | Times Cited: 9
Uncovering the Folding Landscape of RNA Secondary Structure Using Deep Graph Embeddings
Egbert Castro, Andrew Benz, Alexander Tong, et al.
2021 IEEE International Conference on Big Data (Big Data) (2020), pp. 4519-4528
Closed Access | Times Cited: 7
Graphon and Graph Neural Network Stability
Luana Ruiz, Zhiyang Wang, Alejandro Ribeiro
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2021), pp. 5255-5259
Closed Access | Times Cited: 7
Stability of Neural Networks on Riemannian Manifolds
Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
2021 29th European Signal Processing Conference (EUSIPCO) (2021), pp. 1845-1849
Open Access | Times Cited: 7
Graph Policy Gradients for Large Scale Unlabeled Motion Planning with Constraints.
Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 6
Graph and graphon neural network stability
Luana Ruiz, Zhiyang Wang, Alejandro Ribeiro
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 6
Anisotropic Spherical Scattering Networks via Directional Spin Wavelet
Yuehan Xiong, Wenrui Dai, Wen Fei, et al.
IEEE Transactions on Signal Processing (2023) Vol. 71, pp. 2981-2996
Closed Access | Times Cited: 2
Data-Driven Learning of Geometric Scattering Modules for GNNs
Alexander Tong, Frederick Wenkel, Kincaid Macdonald, et al.
(2021), pp. 1-6
Open Access | Times Cited: 5
Sampling and Recovery of Graph Signals based on Graph Neural Networks
Siheng Chen, Maosen Li, Ya Zhang
arXiv (Cornell University) (2020)
Open Access | Times Cited: 4
Scattering Networks on the Sphere for Scalable and Rotationally Equivariant Spherical CNNs.
Jason D. McEwen, Christopher G. R. Wallis, Augustine N. Mavor-Parker
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 4
Kumaraswamy Wavelet for Heterophilic Scene Graph Generation
Lianggangxu Chen, Youqi Song, Shaohui Lin, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 2, pp. 1138-1146
Open Access
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