publications

2024

1. Stability to Deformations of Manifold Filters and Manifold Neural Networks

   Z. Wang, L. Ruiz, and A. Ribeiro

   IEEE Trans. Signal Process., 2024

   Bib

   @article{wang2021stability,
     title = {Stability to Deformations of Manifold Filters and Manifold Neural Networks},
     author = {Wang, Z. and Ruiz, L. and Ribeiro, A.},
     journal = {IEEE Trans. Signal Process.},
     volume = {72},
     year = {2024},
     pages = {2130--2146},
     publisher = {IEEE},
   }

2. Geometric Graph Filters and Neural Networks: Limit Properties and Discriminability Trade-offs

   Z. Wang, L. Ruiz, and A. Ribeiro

   IEEE Trans. Signal Process., 2024

   Bib

   @article{wang2023convergence,
     title = {Geometric Graph Filters and Neural Networks: Limit Properties and Discriminability Trade-offs},
     author = {Wang, Z. and Ruiz, L. and Ribeiro, A.},
     journal = {IEEE Trans. Signal Process.},
     volume = {72},
     year = {2024},
     pages = {2244--2259},
     publisher = {IEEE},
   }

3. A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs (Spotlight)

   T. Le, L. Ruiz, and S. Jegelka

   In 12th ICLR, 7–11 may 2024

   Bib

   @inproceedings{le24-poincare,
     title = {A Poincar\'e Inequality and Consistency Results for Signal Sampling on Large Graphs (Spotlight)},
     author = {Le, T. and Ruiz, L. and Jegelka, S.},
     booktitle = {12th ICLR},
     address = {Vienna, Austria},
     year = {2024},
     month = {7--11 May},
   }

4. A Spectral Analysis of Graph Neural Networks on Dense and Sparse Graphs

   L. Ruiz, N. Huang, and S. Villar

   In 49th ICASSP, 14-19 apr. 2024

   Bib

   @inproceedings{ruiz2024icassp,
     title = {A Spectral Analysis of Graph Neural Networks on Dense and Sparse Graphs},
     author = {Ruiz, L. and Huang, N. and Villar, S.},
     booktitle = {49th ICASSP},
     address = {Seoul, South Korea},
     year = {2024},
     month = {14-19 Apr.},
   }

2023

1. Learning by Transference: Training Graph Neural Networks on Growing Graphs

   J. Cervino, L. Ruiz, and A. Ribeiro

   IEEE Trans. Signal Process., 14-19 apr. 2023

   Bib

   @article{cervino2021increase,
     title = {Learning by Transference: Training Graph Neural Networks on Growing Graphs},
     author = {Cervino, J. and Ruiz, L. and Ribeiro, A.},
     journal = {IEEE Trans. Signal Process.},
     volume = {71},
     pages = {233--247},
     year = {2023},
     publisher = {IEEE},
   }

2. Transferability Properties of Graph Neural Networks

   L. Ruiz, L. F. O. Chamon, and A. Ribeiro

   IEEE Trans. Signal Process., 14-19 apr. 2023

   Bib

   @article{ruiz2021transferability,
     title = {Transferability Properties of Graph Neural Networks},
     author = {Ruiz, L. and Chamon, L. F. O. and Ribeiro, A.},
     journal = {IEEE Trans. Signal Process.},
     volume = {71},
     year = {2023},
     pages = {3473--3489},
     publisher = {IEEE},
   }

3. Graph Neural Tangent Kernel: Convergence on Large Graphs

   S. Krishnagopal, and L. Ruiz

   In 40th ICML, 23-29 jul. 2023

   Bib

   @inproceedings{krishnagopal23-gntk,
     title = {Graph Neural Tangent Kernel: Convergence on Large Graphs},
     author = {Krishnagopal, S. and Ruiz, L.},
     booktitle = {40th ICML},
     address = {Honolulu, HI},
     year = {2023},
     month = {23-29 Jul.},
   }

4. Convolutional Filtering on Sampled Manifolds

   Z. Wang, L Ruiz, and A. Ribeiro

   In 48th ICASSP, 4-10 jun. 2023

   Bib

   @inproceedings{wang2023convolutional,
     title = {Convolutional Filtering on Sampled Manifolds},
     author = {Wang, Z. and Ruiz, L and Ribeiro, A.},
     booktitle = {48th ICASSP},
     address = {Rhodes, Greece},
     year = {2023},
     month = {4-10 Jun.},
   }

5. Training Graph Neural Networks on Growing Stochastic Graphs

   J/ Cerviño, L. Ruiz, and A. Ribeiro

   In 48th ICASSP, 4-10 jun. 2023

   Bib

   @inproceedings{cervino2023training,
     title = {Training Graph Neural Networks on Growing Stochastic Graphs},
     author = {Cervi\~no, J/ and Ruiz, L. and Ribeiro, A.},
     booktitle = {48th ICASSP},
     address = {Rhodes, Greece},
     year = {2023},
     month = {4-10 Jun.},
   }

6. A Local Graph Limits Perspective on Sampling-Based GNNs

   Y. Alimohammadi, L. Ruiz, and A. Saberi

   arXiv:2310.10953 [cs.LG], 4-10 jun. 2023

   Bib

   @article{alimohammadi2023local,
     title = {A Local Graph Limits Perspective on Sampling-Based GNNs},
     author = {Alimohammadi, Y. and Ruiz, L. and Saberi, A.},
     journal = {arXiv:2310.10953 [cs.LG]},
     year = {2023},
   }

2022

1. Stability of Neural Networks on Manifolds to Relative Perturbations

   Z. Wang, L. Ruiz, and A. Ribeiro

   In 47th ICASSP, 22-27 may 2022

   Bib

   @inproceedings{wang2021stability-relative,
     title = {Stability of Neural Networks on Manifolds to Relative Perturbations},
     author = {Wang, Z. and Ruiz, L. and Ribeiro, A.},
     booktitle = {47th ICASSP},
     address = {Singapore (Hybrid)},
     year = {2022},
     month = {22-27 May},
   }

2. Stable and Transferable Wireless Resource Allocation Policies via Manifold Neural Networks

   Z. Wang, L. Ruiz, M. Eisen, and A. Ribeiro

   In 47th ICASSP, 22-27 may 2022

   Bib

   @inproceedings{wang2021stable,
     title = {Stable and Transferable Wireless Resource Allocation Policies via Manifold Neural Networks},
     author = {Wang, Z. and Ruiz, L. and Eisen, M. and Ribeiro, A.},
     booktitle = {47th ICASSP},
     address = {Singapore (Hybrid)},
     year = {2022},
     month = {22-27 May},
   }

3. Training Stable Graph Neural Networks through Constrained Learning

   J/ Cerviño, L. Ruiz, and A. Ribeiro

   In 47th ICASSP, 22-27 may 2022

   Bib

   @inproceedings{cervino2021training,
     title = {Training Stable Graph Neural Networks through Constrained Learning},
     author = {Cervi\~no, J/ and Ruiz, L. and Ribeiro, A.},
     booktitle = {47th ICASSP},
     address = {Singapore (Hybrid)},
     year = {2022},
     month = {22-27 May},
   }

4. Convolutional neural networks on manifolds: From graphs and back

   Z. Wang, L. Ruiz, and A. Ribeiro

   In 56th Asilomar Conf. on Sig. and Syst., 22-27 may 2022

   Bib

   @inproceedings{wang2022convolutional,
     title = {Convolutional neural networks on manifolds: {F}rom graphs and back},
     author = {Wang, Z. and Ruiz, L. and Ribeiro, A.},
     booktitle = {56th Asilomar Conf. on Sig. and Syst.},
     pages = {356--360},
     year = {2022},
     organization = {IEEE},
   }

2021

1. Graph Neural Networks: Architectures, Stability and Transferability

   L. Ruiz, F. Gama, and A. Ribeiro

   Proc. IEEE, 22-27 may 2021

   Bib

   @article{ruiz2020gnns,
     title = {Graph Neural Networks: Architectures, Stability and Transferability},
     author = {Ruiz, L. and Gama, F. and Ribeiro, A.},
     journal = {Proc. IEEE},
     volume = {109},
     number = {5},
     pages = {660--682},
     year = {2021},
     publisher = {IEEE},
   }

2. Graphon Signal Processing

   L. Ruiz, L. F. O. Chamon, and A. Ribeiro

   Trans. Signal Process., 22-27 may 2021

   Bib

   @article{ruiz2020graphonsp,
     title = {Graphon Signal Processing},
     author = {Ruiz, L. and Chamon, L. F. O. and Ribeiro, A.},
     journal = {Trans. Signal Process.},
     volume = {69},
     pages = {4961--4976},
     year = {2021},
     publisher = {IEEE},
   }

3. Graphon Filters: Signal Processing in Very Large Graphs

   L. Ruiz, L. F. O. Chamon, and A. Ribeiro

   In 28th EUSIPCO, 18-22 jan. 2021

   Bib

   @inproceedings{ruiz2021graphon-filters,
     title = {Graphon Filters: Signal Processing in Very Large Graphs},
     author = {Ruiz, L. and Chamon, L. F. O. and Ribeiro, A.},
     booktitle = {28th EUSIPCO},
     pages = {1050-1054},
     address = {Amsterdam, The Netherlands (Virtual)},
     year = {2021},
     month = {18-22 Jan.},
     organization = {IEEE},
   }

4. Graphon Pooling in Graph Neural Networks

   A. Parada-Mayorga, L. Ruiz, and A. Ribeiro

   In 28th EUSIPCO, 18-22 jan. 2021

   Bib

   @inproceedings{parada2021graphon,
     title = {Graphon Pooling in Graph Neural Networks},
     author = {Parada-Mayorga, A. and Ruiz, L. and Ribeiro, A.},
     booktitle = {28th EUSIPCO},
     address = {Amsterdam, The Netherlands (Virtual)},
     year = {2021},
     month = {18-22 Jan.},
     organization = {IEEE},
   }

5. Stability of Neural Networks on Riemannian Manifolds (Best Paper Award)

   Z. Wang, L. Ruiz, and A. Ribeiro

   In 29th EUSIPCO, 23-27 aug. 2021

   Bib

   @inproceedings{wang2021manifold,
     title = {Stability of Neural Networks on {R}iemannian Manifolds (Best Paper Award)},
     author = {Wang, Z. and Ruiz, L. and Ribeiro, A.},
     booktitle = {29th EUSIPCO},
     address = {Dublin, Ireland (Virtual)},
     year = {2021},
     month = {23-27 Aug.},
     publisher = {IEEE},
   }

6. Graphon and Graph Neural Network Stability

   L. Ruiz, Z. Wang, and A. Ribeiro

   In 46th ICASSP, 6-11 jun. 2021

   Bib

   @inproceedings{ruiz2021stability,
     title = {Graphon and Graph Neural Network Stability},
     author = {Ruiz, L. and Wang, Z. and Ribeiro, A.},
     booktitle = {46th ICASSP},
     address = {Toronto, ON (Virtual)},
     year = {2021},
     month = {6-11 Jun.},
     publisher = {IEEE},
   }

7. Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks

   L. Ruiz, F. Gama, A. Ribeiro, and E. Isufi

   In 46th ICASSP, 6-11 jun. 2021

   Bib

   @inproceedings{ruiz2021nonlinear,
     title = {Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks},
     author = {Ruiz, L. and Gama, F. and Ribeiro, A. and Isufi, E.},
     booktitle = {46th ICASSP},
     address = {Toronto, ON (Virtual)},
     year = {2021},
     month = {6-11 Jun.},
     publisher = {IEEE},
   }

8. Iterative Decoding for Compositional Generalization in Transformers

   L. Ruiz, J. Ainslie, and S. Ontañón

   arXiv:2110.04169 [cs.LG], 6-11 jun. 2021

   Bib

   @article{ruiz2021iterative,
     title = {Iterative Decoding for Compositional Generalization in Transformers},
     author = {Ruiz, L. and Ainslie, J. and Onta{\~n}{\'o}n, S.},
     journal = {arXiv:2110.04169 [cs.LG]},
     year = {2021},
   }

9. Transferable Graph Neural Networks on Large-Scale Stochastic Graphs

   L. Ruiz, L. F. O. Chamon, and A. Ribeiro

   In 55th Asilomar Conf. on Sig. and Syst., 6-11 jun. 2021

   Bib

   @inproceedings{ruiz2021transferable,
     title = {Transferable Graph Neural Networks on Large-Scale Stochastic Graphs},
     author = {Ruiz, L. and Chamon, L. F. O. and Ribeiro, A.},
     booktitle = {55th Asilomar Conf. on Sig. and Syst.},
     pages = {1563-1567},
     address = {Asilomar, CA (Virtual)},
     year = {2021},
     organization = {IEEE},
   }

2020

1. Invariance-Preserving Localized Activation Functions for Graph Neural Networks

   L. Ruiz, F. Gama, A. G. Marques, and A. Ribeiro

   Trans. Signal Process., 6-11 jun. 2020

   Bib

   @article{ruiz19-inv,
     author = {Ruiz, L. and Gama, F. and G. Marques, A. and Ribeiro, A.},
     title = {Invariance-Preserving Localized Activation Functions for Graph Neural Networks},
     journal = {Trans. Signal Process.},
     volume = {68},
     pages = {127--141},
     year = {2020},
     publisher = {IEEE},
   }

2. Gated Graph Recurrent Neural Networks

   L. Ruiz, F. Gama, and A. Ribeiro

   Trans. Signal Process., 6-11 jun. 2020

   Bib

   @article{ruiz2020grnns,
     author = {Ruiz, L. and Gama, F. and Ribeiro, A.},
     journal = {Trans. Signal Process.},
     title = {Gated Graph Recurrent Neural Networks},
     volume = {68},
     pages = {6303--6318},
     year = {2020},
     publisher = {IEEE},
   }

3. Spatial Gating Strategies for Graph Recurrent Neural Networks

   L. Ruiz, F. Gama, and A. Ribeiro

   In 45th ICASSP, 4-8 may 2020

   Bib

   @inproceedings{ruiz2019gating,
     title = {Spatial Gating Strategies for Graph Recurrent Neural Networks},
     author = {Ruiz, L. and Gama, F. and Ribeiro, A.},
     booktitle = {45th ICASSP},
     pages = {5550-5554},
     address = {Barcelona, Spain (Virtual)},
     year = {2020},
     month = {4-8 May},
     organization = {IEEE},
   }

4. The Graphon Fourier Transform

   L. Ruiz, L. F. O. Chamon, and A. Ribeiro

   In 45th ICASSP, 4-8 may 2020

   Bib

   @inproceedings{ruiz2019graphon,
     title = {The {G}raphon {F}ourier {T}ransform},
     author = {Ruiz, L. and Chamon, L. F. O. and Ribeiro, A.},
     booktitle = {45th ICASSP},
     pages = {5660-5664},
     address = {Barcelona, Spain (Virtual)},
     year = {2020},
     month = {4-8 May},
     organization = {IEEE},
   }

5. Graphon Neural Networks and the Transferability of Graph Neural Networks

   L. Ruiz, L. F. O. Chamon, and A. Ribeiro

   In 34th NeurIPS, 6-12 dec. 2020

   Bib

   @inproceedings{ruiz20-transf,
     title = {Graphon Neural Networks and the Transferability of Graph Neural Networks},
     author = {Ruiz, L. and Chamon, L. F. O. and Ribeiro, A.},
     booktitle = {34th NeurIPS},
     address = {Vancouver, BC (Virtual)},
     year = {2020},
     month = {6-12 Dec.},
     publisher = {NeurIPS Foundation},
   }

6. Graph-Adaptive Activation Functions for Graph Neural Networks

   B. Iancu, L. Ruiz, A. Ribeiro, and E. Isufi

   In 30th Int. Workshop Mach. Learn. Signal Process., 21-24 sep. 2020

   Bib

   @inproceedings{iancu2020graph,
     title = {Graph-Adaptive Activation Functions for Graph Neural Networks},
     author = {Iancu, B. and Ruiz, L. and Ribeiro, A. and Isufi, E.},
     booktitle = {30th Int. Workshop Mach. Learn. Signal Process.},
     pages = {1-6},
     address = {Espoo, Finland (Virtual)},
     year = {2020},
     month = {21-24 Sep.},
     organization = {IEEE},
   }

2019

1. Median Activation Functions for Graph Neural Networks

   L. Ruiz, F. Gama, A. G. Marques, and A. Ribeiro

   In 44th ICASSP, 13-17 may 2019

   Bib

   @inproceedings{ruiz18-local,
     title = {Median Activation Functions for Graph Neural Networks},
     author = {Ruiz, L. and Gama, F. and G. Marques, A. and Ribeiro, A.},
     booktitle = {44th ICASSP},
     pages = {7440-7444},
     address = {Brighton, UK},
     year = {2019},
     month = {13-17 May},
     publisher = {IEEE},
   }

2. Gated Graph Convolutional Recurrent Neural Networks (Best Paper Award)

   L. Ruiz, F. Gama, and A. Ribeiro

   In 27th EUSIPCO, 2-6 sep. 2019

   Bib

   @inproceedings{ruiz18-grnns,
     title = {Gated Graph Convolutional Recurrent Neural Networks (Best Paper Award)},
     author = {Ruiz, L. and Gama, F. and Ribeiro, A.},
     booktitle = {27th EUSIPCO},
     pages = {1-5},
     address = {A Coruna, Spain},
     year = {2019},
     month = {2-6 Sep.},
     organization = {EURASIP},
   }