Graphon Neural Networks and the Transferability of Graph Neural Networks

5 June 2020

Alejandro Ribeiro

Papers citing "Graphon Neural Networks and the Transferability of Graph Neural Networks"

34 / 34 papers shown

Title
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 42 2 0 28 Oct 2024
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation Kexin Zhang Shuhan Liu Song Wang Weili Shi Chen Chen Pan Li Sheng Li Jundong Li Kaize Ding OOD 53 2 0 25 Oct 2024
Graph Sampling for Scalable and Expressive Graph Neural Networks on Homophilic Graphs Haolin Li Luana Ruiz Luana Ruiz 37 0 0 22 Oct 2024
Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on Graphs Shuhan Liu Kaize Ding OOD 29 5 0 17 Feb 2024
Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns Yifei Sun Qi Zhu Yang Yang Chunping Wang Tianyu Fan Jiajun Zhu Lei Chen 48 12 0 21 Dec 2023
Does Graph Distillation See Like Vision Dataset Counterpart? Beining Yang Kai Wang Qingyun Sun Cheng Ji Xingcheng Fu Hao Tang Yang You Jianxin Li DD 17 38 0 13 Oct 2023
Transferability of Convolutional Neural Networks in Stationary Learning Tasks Damian Owerko Charilaos I. Kanatsoulis Jennifer Bondarchuk Donald J. Bucci Alejandro Ribeiro BDL 29 0 0 21 Jul 2023
Transferability of coVariance Neural Networks and Application to Interpretable Brain Age Prediction using Anatomical Features Saurabh Sihag Fangchang Ma Corey McMillan Angela Dai 43 3 0 02 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 49 7 0 21 Apr 2023
Knowledge Distillation on Graphs: A Survey Yijun Tian Shichao Pei Xiangliang Zhang Chuxu Zhang Nitesh V. Chawla 21 28 0 01 Feb 2023
RouteNet-Fermi: Network Modeling with Graph Neural Networks Miquel Ferriol Galmés Jordi Paillissé José Suárez-Varela Krzysztof Rusek Shihan Xiao Xiang Shi Xiangle Cheng Pere Barlet-Ros A. Cabellos-Aparicio GNN MoE 21 44 0 22 Dec 2022
Graphon Pooling for Reducing Dimensionality of Signals and Convolutional Operators on Graphs Alejandro Parada-Mayorga Zhiyang Wang Alejandro Ribeiro 31 9 0 15 Dec 2022
Convolutional Filtering on Sampled Manifolds Zhiyang Wang Luana Ruiz Alejandro Ribeiro 23 3 0 20 Nov 2022
Stable and Transferable Hyper-Graph Neural Networks Mikhail Hayhoe Hans Riess V. Preciado Alejandro Ribeiro 46 1 0 11 Nov 2022
Implicit Graphon Neural Representation Xinyue Xia Gal Mishne Yusu Wang GNN AI4CE 42 5 0 07 Nov 2022
Space-Time Graph Neural Networks with Stochastic Graph Perturbations Samar Hadou Charilaos I. Kanatsoulis Alejandro Ribeiro 25 4 0 28 Oct 2022
Training Graph Neural Networks on Growing Stochastic Graphs J. Cerviño Luana Ruiz Alejandro Ribeiro GNN 11 8 0 27 Oct 2022
Convolutional Neural Networks on Manifolds: From Graphs and Back Zhiyang Wang Luana Ruiz Alejandro Ribeiro 3DPC GNN 40 14 0 01 Oct 2022
Tuning the Geometry of Graph Neural Networks Sowon Jeong Claire Donnat AI4CE 48 1 0 12 Jul 2022
coVariance Neural Networks Saurabh Sihag Gonzalo Mateos Corey McMillan Alejandro Ribeiro 31 10 0 31 May 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs Yangze Zhou Gitta Kutyniok Bruno Ribeiro OODD AI4CE 81 37 0 30 May 2022
Theory of Graph Neural Networks: Representation and Learning Stefanie Jegelka GNN AI4CE 33 68 0 16 Apr 2022
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks Hongya Wang Haoteng Yin Muhan Zhang Pan Li 35 107 0 01 Mar 2022
Robust Graph Neural Networks via Probabilistic Lipschitz Constraints R. Arghal Eric Lei Shirin Saeedi Bidokhti 19 19 0 14 Dec 2021
Transferability Properties of Graph Neural Networks Luana Ruiz Luiz F. O. Chamon Alejandro Ribeiro GNN 27 41 0 09 Dec 2021
Training Stable Graph Neural Networks Through Constrained Learning J. Cerviño Luana Ruiz Alejandro Ribeiro GNN 31 12 0 07 Oct 2021
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 37 42 0 24 Aug 2021
Wide and Deep Graph Neural Network with Distributed Online Learning Zhan Gao Fernando Gama Alejandro Ribeiro GNN 44 26 0 19 Jul 2021
Graph and graphon neural network stability Luana Ruiz Zhiyang Wang Alejandro Ribeiro GNN 78 17 0 23 Oct 2020
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization Qi Zhu Carl Yang Yidan Xu Haonan Wang Chao Zhang Jiawei Han 42 117 0 11 Sep 2020
Graph Neural Networks: Architectures, Stability and Transferability Luana Ruiz Fernando Gama Alejandro Ribeiro GNN 53 122 0 04 Aug 2020
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 28 5,400 0 20 Dec 2018
Convolutional Neural Network Architectures for Signals Supported on Graphs Fernando Gama A. Marques G. Leus Alejandro Ribeiro 134 285 0 01 May 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,240 0 24 Nov 2016