Generalization of Graph Neural Networks is Robust to Model Mismatch

25 August 2024

Papers citing "Generalization of Graph Neural Networks is Robust to Model Mismatch"

24 / 24 papers shown

Title
Generalization Error Analysis for Selective State-Space Models Through the Lens of Attention Arya Honarpisheh Mustafa Bozdag Octavia Camps Mario Sznaier Mamba 116 1 0 03 Feb 2025
Generalization of Geometric Graph Neural Networks with Lipschitz Loss Functions Zhiyang Wang J. Cerviño Alejandro Ribeiro 47 2 0 08 Sep 2024
A Convergence Rate for Manifold Neural Networks Joyce A. Chew Deanna Needell Michael Perlmutter 52 6 0 23 Dec 2022
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks Pascal Esser L. C. Vankadara Debarghya Ghoshdastidar 50 56 0 07 Dec 2021
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network Haoyang Li Xin Eric Wang Ziwei Zhang Wenwu Zhu OODD OOD 58 102 0 07 Dec 2021
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs Shaohua Fan Xiao Wang Chuan Shi Peng Cui Bai Wang CML OOD OODD AI4CE 115 87 0 20 Nov 2021
Coverage Control in Multi-Robot Systems via Graph Neural Networks W. Gosrich Siddharth Mayya Rebecca Li James Paulos Mark H. Yim Alejandro Ribeiro Vijay Kumar 85 25 0 30 Sep 2021
Subgroup Generalization and Fairness of Graph Neural Networks Jiaqi Ma Junwei Deng Qiaozhu Mei 70 82 0 29 Jun 2021
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization Aseem Baranwal Kimon Fountoulakis Aukosh Jagannath OODD 100 76 0 13 Feb 2021
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks Renjie Liao R. Urtasun R. Zemel 53 90 0 14 Dec 2020
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Tengjiao Wang GNN 121 1,218 0 04 Nov 2020
From Local Structures to Size Generalization in Graph Neural Networks Gilad Yehudai Ethan Fetaya E. Meirom Gal Chechik Haggai Maron GNN AI4CE 204 134 0 17 Oct 2020
A User Guide to Low-Pass Graph Signal Processing and its Applications Raksha Ramakrishna Hoi-To Wai Anna Scaglione 33 58 0 04 Aug 2020
Graphon Neural Networks and the Transferability of Graph Neural Networks Luana Ruiz Luiz F. O. Chamon Alejandro Ribeiro GNN 63 145 0 05 Jun 2020
Convergence and Stability of Graph Convolutional Networks on Large Random Graphs Nicolas Keriven A. Bietti Samuel Vaiter GNN 47 86 0 02 Jun 2020
Generalization and Representational Limits of Graph Neural Networks Vikas Garg Stefanie Jegelka Tommi Jaakkola GNN 94 312 0 14 Feb 2020
Transferability of Spectral Graph Convolutional Neural Networks Ron Levie Wei Huang Lorenzo Bucci M. Bronstein Gitta Kutyniok GNN 93 128 0 30 Jul 2019
Convolutional Neural Network Architectures for Signals Supported on Graphs Fernando Gama A. Marques G. Leus Alejandro Ribeiro 169 286 0 01 May 2018
Generalization in Deep Learning Kenji Kawaguchi L. Kaelbling Yoshua Bengio ODL 86 459 0 16 Oct 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 388 1,818 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 672 3,274 0 24 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 573 28,964 0 09 Sep 2016
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 351 33,500 0 16 Oct 2013
Testing the Manifold Hypothesis Charles Fefferman S. Mitter Hariharan Narayanan 124 531 0 01 Oct 2013