Luana Ruiz

IEEE Trans. Signal Process., 2024

Stability to Deformations of Manifold Filters and Manifold Neural Networks.

[BibT_eX]

[DOI]

Caio F. Deberaldini Netto

IEEE Trans. Signal Process., 2024

Improved Image Classification with Manifold Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs.

[BibT_eX]

[DOI]

Thien Le

Stefanie Jegelka

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

[BibT_eX]

[DOI]

Ningyuan Teresa Huang

Soledad Villar

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Transferability Properties of Graph Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2023

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

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2023

A Local Graph Limits Perspective on Sampling-Based GNNs.

[BibT_eX]

[DOI]

Yeganeh Alimohammadi

Amin Saberi

CoRR, 2023

Graph Neural Tangent Kernel: Convergence on Large Graphs.

[BibT_eX]

[DOI]

Sanjukta Krishnagopal

Proceedings of the International Conference on Machine Learning, 2023

Convolutional Filtering on Sampled Manifolds.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Training Graph Neural Networks on Growing Stochastic Graphs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Convergence of Graph Neural Networks on Relatively Sparse Graphs.

[BibT_eX]

[DOI]

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Graph Neural Networks for Community Detection on Sparse Graphs.

[BibT_eX]

[DOI]

Ningyuan Huang

Soledad Villar

CoRR, 2022

Stability of Neural Networks on Manifolds to Relative Perturbations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Stable and Transferable Wireless Resource Allocation Policies Via Manifold Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Training Stable Graph Neural Networks Through Constrained Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Convolutional Neural Networks on Manifolds: From Graphs and Back.

[BibT_eX]

[DOI]

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

Graphon Signal Processing.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2021

Graph Neural Networks: Architectures, Stability, and Transferability.

[BibT_eX]

[DOI]

Proc. IEEE, 2021

Iterative Decoding for Compositional Generalization in Transformers.

[BibT_eX]

[DOI]

Joshua Ainslie

Santiago Ontañón

CoRR, 2021

Stability of Manifold Neural Networks to Deformations.

[BibT_eX]

[DOI]

CoRR, 2021

Increase and Conquer: Training Graph Neural Networks on Growing Graphs.

[BibT_eX]

[DOI]

CoRR, 2021

Graphon and Graph Neural Network Stability.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Stability of Neural Networks on Riemannian Manifolds.

[BibT_eX]

[DOI]

Proceedings of the 29th European Signal Processing Conference, 2021

Transferable Graph Neural Networks on Large-Scale Stochastic Graphs.

[BibT_eX]

[DOI]

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Gated Graph Recurrent Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

Invariance-Preserving Localized Activation Functions for Graph Neural Networks.

[BibT_eX]

[DOI]

Antonio Garcia Marques

IEEE Trans. Signal Process., 2020

Graph and graphon neural network stability.

[BibT_eX]

[DOI]

CoRR, 2020

Graphon Neural Networks and the Transferability of Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Graph-Adaptive Activation Functions for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Spatial Gating Strategies for Graph Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

The Graphon Fourier Transform.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Graphon Filters: Signal Processing in Very Large Graphs.

[BibT_eX]

[DOI]

Proceedings of the 28th European Signal Processing Conference, 2020

Graphon Pooling in Graph Neural Networks.

[BibT_eX]

[DOI]

Alejandro Parada-Mayorga

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Median Activation Functions for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Gated Graph Convolutional Recurrent Neural Networks.

[BibT_eX]

[DOI]