Training Stable Graph Neural Networks Through Constrained Learning

Training Stable Graph Neural Networks Through Constrained Learning

7 October 2021

Alejandro Ribeiro

Papers citing "Training Stable Graph Neural Networks Through Constrained Learning"

11 / 11 papers shown

Title
Graph neural networks and non-commuting operators Mauricio Velasco Kaiying O'Hare Bernardo Rychtenberg Soledad Villar GNN 74 1 0 06 Nov 2024
Sparse Covariance Neural Networks Andrea Cavallo Zhan Gao Elvin Isufi 21 0 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 28 4 0 20 Dec 2023
On the Trade-Off between Stability and Representational Capacity in Graph Neural Networks Zhan Gao Amanda Prorok Elvin Isufi 22 1 0 04 Dec 2023
Financial Fraud Detection using Quantum Graph Neural Networks Nouhaila Innan Abhishek Sawaika Ashim Dhor Siddhant Dutta Sairupa Thota Husayn Gokal Nandan Patel Muhammad Al-Zafar Khan Ioannis Theodonis Mohamed Bennai GNN 12 37 0 03 Sep 2023
Learning Stable Graph Neural Networks via Spectral Regularization Zhan Gao Elvin Isufi 12 3 0 13 Nov 2022
Learning Globally Smooth Functions on Manifolds J. Cerviño Luiz F. O. Chamon B. Haeffele René Vidal Alejandro Ribeiro 27 5 0 01 Oct 2022
Automatic Data Augmentation via Invariance-Constrained Learning Ignacio Hounie Luiz F. O. Chamon Alejandro Ribeiro 13 10 0 29 Sep 2022
A Lagrangian Duality Approach to Active Learning Juan Elenter Navid Naderializadeh Alejandro Ribeiro 14 20 0 08 Feb 2022
Robust Graph Neural Networks via Probabilistic Lipschitz Constraints R. Arghal E. Lei Shirin Saeedi Bidokhti 11 19 0 14 Dec 2021
Convolutional Neural Network Architectures for Signals Supported on Graphs Fernando Gama A. Marques G. Leus Alejandro Ribeiro 122 285 0 01 May 2018