Convergence and Stability of Graph Convolutional Networks on Large
Random Graphs

Convergence and Stability of Graph Convolutional Networks on Large Random Graphs

2 June 2020

Nicolas Keriven

Papers citing "Convergence and Stability of Graph Convolutional Networks on Large Random Graphs"

15 / 15 papers shown

Title
Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks Xingran Chen Navid Naderializadeh Alejandro Ribeiro Shirin Saeedi Bidokhti 44 1 0 04 Apr 2024
Robust Graph Neural Network based on Graph Denoising Victor M. Tenorio Samuel Rey Antonio G. Marques AAML 16 1 0 11 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
A graphon-signal analysis of graph neural networks Ron Levie 24 16 0 25 May 2023
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs Matthieu Cordonnier Nicolas Keriven Nicolas M Tremblay Samuel Vaiter GNN 45 7 0 21 Apr 2023
Stable and Transferable Hyper-Graph Neural Networks Mikhail Hayhoe Hans Riess V. Preciado Alejandro Ribeiro 38 1 0 11 Nov 2022
Space-Time Graph Neural Networks with Stochastic Graph Perturbations Samar Hadou Charilaos I. Kanatsoulis Alejandro Ribeiro 22 4 0 28 Oct 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs Yangze Zhou Gitta Kutyniok Bruno Ribeiro OODD AI4CE 73 37 0 30 May 2022
Not too little, not too much: a theoretical analysis of graph (over)smoothing Nicolas Keriven 20 88 0 24 May 2022
Transferability Properties of Graph Neural Networks Luana Ruiz Luiz F. O. Chamon Alejandro Ribeiro GNN 19 40 0 09 Dec 2021
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks P. Esser L. C. Vankadara D. Ghoshdastidar 21 53 0 07 Dec 2021
Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning Shuangjia Zheng Sijie Mai Ya Sun Haifeng Hu Yuedong Yang 24 21 0 26 Jul 2021
Graph and graphon neural network stability Luana Ruiz Zhiyang Wang Alejandro Ribeiro GNN 78 17 0 23 Oct 2020
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,202 0 24 Nov 2016
A survey of statistical network models Anna Goldenberg A. Zheng S. Fienberg E. Airoldi 118 975 0 29 Dec 2009