EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks

27 May 2022

Papers citing "EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks"

24 / 24 papers shown

Title
SpecSphere: Dual-Pass Spectral-Spatial Graph Neural Networks with Certified Robustness Y. Choi Chong-Kwon Kim 14 0 0 13 May 2025
Statistical physics analysis of graph neural networks: Approaching optimality in the contextual stochastic block model O. Duranthon L. Zdeborová 41 0 0 03 Mar 2025
Training Robust Graph Neural Networks by Modeling Noise Dependencies Yeonjun In Kanghoon Yoon Sukwon Yun Kibum Kim Sungchul Kim Chanyoung Park OOD NoLa 70 0 0 27 Feb 2025
Rewiring Techniques to Mitigate Oversquashing and Oversmoothing in GNNs: A Survey Hugo Attali Davide Buscaldi Nathalie Pernelle AI4CE 61 1 0 26 Nov 2024
Heterophilic Graph Neural Networks Optimization with Causal Message-passing Botao Wang Jia Li Heng Chang K. Zhang Fugee Tsung 70 2 0 21 Nov 2024
Graph Adversarial Diffusion Convolution Songtao Liu Jinghui Chen Tianfan Fu Lu Lin Marinka Zitnik Dinghao Wu DiffM 20 2 0 04 Jun 2024
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing Keke Huang Yu Guang Wang Ming Li Pietro Lió 35 16 0 21 May 2024
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks Yassine Abbahaddou Sofiane Ennadir J. Lutzeyer Michalis Vazirgiannis Henrik Bostrom AAML OOD 21 6 0 27 Apr 2024
Simplified PCNet with Robustness Bingheng Li Xuanting Xie Haoxiang Lei Ruiyi Fang Zhao Kang 14 4 0 06 Mar 2024
Provable Filter for Real-world Graph Clustering Xuanting Xie Erlin Pan Zhao Kang Wenyu Chen Bingheng Li GNN 31 2 0 06 Mar 2024
Asymptotic generalization error of a single-layer graph convolutional network O. Duranthon L. Zdeborová MLT 35 2 0 06 Feb 2024
AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity Xunkai Li Zhengyu Wu Wentao Zhang Henan Sun Ronghua Li Guoren Wang FedML 23 1 0 22 Jan 2024
An Effective Universal Polynomial Basis for Spectral Graph Neural Networks Keke Huang Pietro Lió 11 1 0 30 Nov 2023
Optimal Inference in Contextual Stochastic Block Models O. Duranthon L. Zdeborová BDL 35 8 0 06 Jun 2023
LON-GNN: Spectral GNNs with Learnable Orthonormal Basis Qian Tao Zhen Wang Wenyuan Yu Yaliang Li Zhewei Wei 17 4 0 24 Mar 2023
Invariant Layers for Graphs with Nodes of Different Types Dmitry Rybin Ruoyu Sun Zhimin Luo 16 0 0 27 Feb 2023
Robust Mid-Pass Filtering Graph Convolutional Networks Jincheng Huang Lun Du Xu Chen Qiang Fu Shi Han Dongmei Zhang AAML 11 34 0 16 Feb 2023
A Survey on Spectral Graph Neural Networks Deyu Bo Xiao Wang Yang Liu Yuan Fang Yawen Li Chuan Shi 21 24 0 11 Feb 2023
GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous Graphs Marios Papachristou Rishab Goel Frank Portman M. Miller Rong Jin 8 0 0 01 Nov 2022
Graph Neural Networks for Graphs with Heterophily: A Survey Xin-Yang Zheng Yi Wang Yixin Liu Ming Li Miao Zhang Di Jin Philip S. Yu Shirui Pan 16 213 0 14 Feb 2022
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 84 445 0 04 Jan 2021
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 167 1,058 0 13 Feb 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 142 828 0 28 Sep 2019
Contextual Stochastic Block Models Y. Deshpande Andrea Montanari Elchanan Mossel S. Sen 98 131 0 23 Jul 2018