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2020 – today
- 2023
[j5]Juan Cerviño
, Luana Ruiz, Alejandro Ribeiro:
Learning by Transference: Training Graph Neural Networks on Growing Graphs. IEEE Trans. Signal Process. 71: 233-247 (2023)- [i20]Sanjukta Krishnagopal, Luana Ruiz:
Graph Neural Tangent Kernel: Convergence on Large Graphs. CoRR abs/2301.10808 (2023) - 2022
- [c16]Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro:
Convolutional Neural Networks on Manifolds: From Graphs and Back. IEEECONF 2022: 356-360 - [c15]Juan Cerviño, Luana Ruiz, Alejandro Ribeiro:
Training Stable Graph Neural Networks Through Constrained Learning. ICASSP 2022: 4223-4227 - [c14]Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro:
Stability of Neural Networks on Manifolds to Relative Perturbations. ICASSP 2022: 5473-5477 - [c13]Zhiyang Wang, Luana Ruiz, Mark Eisen, Alejandro Ribeiro:
Stable and Transferable Wireless Resource Allocation Policies Via Manifold Neural Networks. ICASSP 2022: 8912-8916 - [i19]Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro:
Convolutional Neural Networks on Manifolds: From Graphs and Back. CoRR abs/2210.00376 (2022) - [i18]Juan Cerviño, Luana Ruiz, Alejandro Ribeiro:
Training Graph Neural Networks on Growing Stochastic Graphs. CoRR abs/2210.15567 (2022) - [i17]Luana Ruiz, Ningyuan Huang, Soledad Villar:
Graph Neural Networks for Community Detection on Sparse Graphs. CoRR abs/2211.03231 (2022) - [i16]Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro:
Convolutional Filtering on Sampled Manifolds. CoRR abs/2211.11058 (2022) - 2021
- [j4]Luana Ruiz, Fernando Gama, Alejandro Ribeiro:
Graph Neural Networks: Architectures, Stability, and Transferability. Proc. IEEE 109(5): 660-682 (2021) - [j3]Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro:
Graphon Signal Processing. IEEE Trans. Signal Process. 69: 4961-4976 (2021) - [c12]Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro:
Transferable Graph Neural Networks on Large-Scale Stochastic Graphs. ACSCC 2021: 1563-1567 - [c11]Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro:
Stability of Neural Networks on Riemannian Manifolds. EUSIPCO 2021: 1845-1849 - [c10]Luana Ruiz, Zhiyang Wang, Alejandro Ribeiro:
Graphon and Graph Neural Network Stability. ICASSP 2021: 5255-5259 - [c9]Luana Ruiz, Fernando Gama, Alejandro Ribeiro, Elvin Isufi:
Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks. ICASSP 2021: 5265-5269 - [i15]Juan Cerviño, Luana Ruiz, Alejandro Ribeiro:
Increase and Conquer: Training Graph Neural Networks on Growing Graphs. CoRR abs/2106.03693 (2021) - [i14]Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro:
Stability of Manifold Neural Networks to Deformations. CoRR abs/2106.03725 (2021) - [i13]Juan Cerviño, Luana Ruiz, Alejandro Ribeiro:
Training Stable Graph Neural Networks Through Constrained Learning. CoRR abs/2110.03576 (2021) - [i12]Luana Ruiz, Joshua Ainslie, Santiago Ontañón:
Iterative Decoding for Compositional Generalization in Transformers. CoRR abs/2110.04169 (2021) - [i11]Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro:
Stability of Neural Networks on Manifolds to Relative Perturbations. CoRR abs/2110.04702 (2021) - [i10]Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro:
Transferability Properties of Graph Neural Networks. CoRR abs/2112.04629 (2021) - 2020
- [j2]Luana Ruiz, Fernando Gama, Antonio Garcia Marques, Alejandro Ribeiro:
Invariance-Preserving Localized Activation Functions for Graph Neural Networks. IEEE Trans. Signal Process. 68: 127-141 (2020) - [j1]Luana Ruiz, Fernando Gama, Alejandro Ribeiro:
Gated Graph Recurrent Neural Networks. IEEE Trans. Signal Process. 68: 6303-6318 (2020) - [c8]Alejandro Parada-Mayorga, Luana Ruiz, Alejandro Ribeiro:
Graphon Pooling in Graph Neural Networks. EUSIPCO 2020: 860-864 - [c7]Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro:
Graphon Filters: Signal Processing in Very Large Graphs. EUSIPCO 2020: 1050-1054 - [c6]Luana Ruiz, Fernando Gama, Alejandro Ribeiro:
Spatial Gating Strategies for Graph Recurrent Neural Networks. ICASSP 2020: 5550-5554 - [c5]Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro:
The Graphon Fourier Transform. ICASSP 2020: 5660-5664 - [c4]Bianca Iancu, Luana Ruiz, Alejandro Ribeiro, Elvin Isufi:
Graph-Adaptive Activation Functions for Graph Neural Networks. MLSP 2020: 1-6 - [c3]Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro:
Graphon Neural Networks and the Transferability of Graph Neural Networks. NeurIPS 2020 - [i9]Luana Ruiz, Fernando Gama, Alejandro Ribeiro:
Gated Graph Recurrent Neural Networks. CoRR abs/2002.01038 (2020) - [i8]Alejandro Parada-Mayorga, Luana Ruiz, Alejandro Ribeiro:
Graphon Pooling in Graph Neural Networks. CoRR abs/2003.01795 (2020) - [i7]Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro:
Graphon Neural Networks and the Transferability of Graph Neural Networks. CoRR abs/2006.03548 (2020) - [i6]Luana Ruiz, Fernando Gama, Alejandro Ribeiro:
Graph Neural Networks: Architectures, Stability and Transferability. CoRR abs/2008.01767 (2020) - [i5]Luana Ruiz, Zhiyang Wang, Alejandro Ribeiro:
Graph and graphon neural network stability. CoRR abs/2010.12529 (2020) - [i4]Luana Ruiz, Fernando Gama, Alejandro Ribeiro, Elvin Isufi:
Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks. CoRR abs/2010.14585 (2020)
2010 – 2019
- 2019
- [c2]Luana Ruiz, Fernando Gama, Alejandro Ribeiro:
Gated Graph Convolutional Recurrent Neural Networks. EUSIPCO 2019: 1-5 - [c1]Luana Ruiz, Fernando Gama, Antonio G. Marques, Alejandro Ribeiro:
Median Activation Functions for Graph Neural Networks. ICASSP 2019: 7440-7444 - [i3]Luana Ruiz, Fernando Gama, Alejandro Ribeiro:
Gated Graph Convolutional Recurrent Neural Networks. CoRR abs/1903.01888 (2019) - [i2]Luana Ruiz, Fernando Gama, Antonio G. Marques, Alejandro Ribeiro:
Invariance-Preserving Localized Activation Functions for Graph Neural Networks. CoRR abs/1903.12575 (2019) - 2018
- [i1]Luana Ruiz, Fernando Gama, Antonio G. Marques, Alejandro Ribeiro:
Median activation functions for graph neural networks. CoRR abs/1810.12165 (2018)
Coauthor Index
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last updated on 2023-03-30 01:28 CEST by the dblp team
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