Robust Graph Neural Networks via Probabilistic Lipschitz Constraints

14 December 2021

Papers citing "Robust Graph Neural Networks via Probabilistic Lipschitz Constraints"

10 / 10 papers shown

Title
Sparse Covariance Neural Networks Andrea Cavallo Zhan Gao Elvin Isufi 33 1 0 02 Oct 2024
Stability of Graph Convolutional Neural Networks through the lens of small perturbation analysis Lucia Testa Claudio Battiloro S. Sardellitti Sergio Barbarossa AAML 36 4 0 20 Dec 2023
On the Trade-Off between Stability and Representational Capacity in Graph Neural Networks Zhan Gao Amanda Prorok Elvin Isufi 35 1 0 04 Dec 2023
On the Stability of Expressive Positional Encodings for Graphs Yinan Huang William Lu Joshua Robinson Yu Yang Muhan Zhang Stefanie Jegelka Pan Li 40 9 0 04 Oct 2023
Learning Stable Graph Neural Networks via Spectral Regularization Zhan Gao Elvin Isufi 26 3 0 13 Nov 2022
Learning Globally Smooth Functions on Manifolds J. Cerviño Luiz F. O. Chamon B. Haeffele René Vidal Alejandro Ribeiro 32 5 0 01 Oct 2022
A Lagrangian Duality Approach to Active Learning Juan Elenter Navid Naderializadeh Alejandro Ribeiro 22 21 0 08 Feb 2022
Adversarial Robustness with Semi-Infinite Constrained Learning Alexander Robey Luiz F. O. Chamon George J. Pappas Hamed Hassani Alejandro Ribeiro AAML OOD 118 42 0 29 Oct 2021
Training Stable Graph Neural Networks Through Constrained Learning J. Cerviño Luana Ruiz Alejandro Ribeiro GNN 31 12 0 07 Oct 2021
Convolutional Neural Network Architectures for Signals Supported on Graphs Fernando Gama A. Marques G. Leus Alejandro Ribeiro 132 285 0 01 May 2018