Interpretable Stability Bounds for Spectral Graph Filters

18 February 2021

Papers citing "Interpretable Stability Bounds for Spectral Graph Filters"

24 / 24 papers shown

Title
Sparse Covariance Neural Networks Andrea Cavallo Zhan Gao Elvin Isufi 33 1 0 02 Oct 2024
Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts Zeyang Zhang Xin Wang Ziwei Zhang Zhou Qin Weigao Wen Hui Xue Haoyang Li Wenwu Zhu OOD 37 17 0 08 Mar 2024
Simplified PCNet with Robustness Bingheng Li Xuanting Xie Haoxiang Lei Ruiyi Fang Zhao Kang 40 5 0 06 Mar 2024
SAGMAN: Stability Analysis of Graph Neural Networks on the Manifolds Wuxinlin Cheng Chenhui Deng Ali Aghdaei Zhiru Zhang Zhuo Feng AAML 36 1 0 13 Feb 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 38 1 0 04 Dec 2023
Framelet Message Passing Xinliang Liu Bingxin Zhou Chutian Zhang Yu Guang Wang 30 5 0 28 Feb 2023
Graph Neural Networks over the Air for Decentralized Tasks in Wireless Networks Zhan Gao Deniz Gunduz GNN 38 1 0 16 Feb 2023
A Survey on Spectral Graph Neural Networks Deyu Bo Xiao Wang Yang Liu Yuan Fang Yawen Li Chuan Shi 35 25 0 11 Feb 2023
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges K. T. Baghaei Amirreza Payandeh Pooya Fayyazsanavi Shahram Rahimi Zhiqian Chen Somayeh Bakhtiari Ramezani FaML AI4TS 38 6 0 27 Nov 2022
Stable and Transferable Hyper-Graph Neural Networks Mikhail Hayhoe Hans Riess V. Preciado Alejandro Ribeiro 46 1 0 11 Nov 2022
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks Runlin Lei Zhen Wang Yaliang Li Bolin Ding Zhewei Wei AAML 28 42 0 27 May 2022
Graph Convolutional Neural Networks Sensitivity under Probabilistic Error Model Xinjue Wang Esa Ollila S. Vorobyov AAML 24 1 0 15 Mar 2022
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs Sohir Maskey Ron Levie Yunseok Lee Gitta Kutyniok GNN 83 54 0 01 Feb 2022
Learning Stochastic Graph Neural Networks with Constrained Variance Zhan Gao Elvin Isufi 27 5 0 29 Jan 2022
Transferability Properties of Graph Neural Networks Luana Ruiz Luiz F. O. Chamon Alejandro Ribeiro GNN 27 41 0 09 Dec 2021
Understanding over-squashing and bottlenecks on graphs via curvature Jake Topping Francesco Di Giovanni B. Chamberlain Xiaowen Dong M. Bronstein 64 426 0 29 Nov 2021
Adversarial Attacks on Graph Classification via Bayesian Optimisation Xingchen Wan Henry Kenlay Binxin Ru Arno Blaas Michael A. Osborne Xiaowen Dong AAML 32 12 0 04 Nov 2021
Graph Structural Attack by Perturbing Spectral Distance Lu Lin Ethan Blaser Hongning Wang AAML 8 30 0 01 Nov 2021
On the Stability of Low Pass Graph Filter With a Large Number of Edge Rewires Hoang-Son Nguyen Yiran He Hoi-To Wai 22 7 0 14 Oct 2021
Transferability of Graph Neural Networks: an Extended Graphon Approach Sohir Maskey Ron Levie Gitta Kutyniok GNN 93 50 0 21 Sep 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 46 18 0 21 Jul 2021
Fairness-Aware Node Representation Learning Öykü Deniz Köse Yanning Shen 22 22 0 09 Jun 2021
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 261 3,240 0 24 Nov 2016