Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks

9 December 2022

Yihan Wu

Aleksandar Bojchevski

Heng Huang

AAML

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Papers citing "Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks"

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Title
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization Song Wang Xiaodong Yang Rashidul Islam Huiyuan Chen Minghua Xu Jundong Li Yiwei Cai OODD 160 2 0 07 Jan 2025
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 96 3 0 25 Oct 2024
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems Xidong Wu Zhengmian Hu Heng Huang 53 15 0 08 Feb 2023
Faster Adaptive Federated Learning Xidong Wu Feihu Huang Zhengmian Hu Heng Huang FedML 58 57 0 02 Dec 2022
Towards Robust Dataset Learning Yihan Wu Xinda Li Florian Kerschbaum Heng Huang Hongyang R. Zhang DD OOD 61 10 0 19 Nov 2022
RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval Yihan Wu Hongyang R. Zhang Heng Huang 3DV 55 17 0 17 Jun 2022
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation An Xu Wenqi Li Pengfei Guo Dong Yang H. Roth Ali Hatamizadeh Can Zhao Daguang Xu Heng-Chiao Huang Ziyue Xu FedML 52 52 0 18 Mar 2022
Subgroup Generalization and Fairness of Graph Neural Networks Jiaqi Ma Junwei Deng Qiaozhu Mei 62 82 0 29 Jun 2021
Relating Adversarially Robust Generalization to Flat Minima David Stutz Matthias Hein Bernt Schiele OOD 46 66 0 09 Apr 2021
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks Jungmin Kwon Jeongseop Kim Hyunseong Park I. Choi 73 288 0 23 Feb 2021
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks Renjie Liao R. Urtasun R. Zemel 35 87 0 14 Dec 2020
Node Similarity Preserving Graph Convolutional Networks Wei Jin Hanyu Wang Yiqi Wang Yao Ma Zitao Liu Jiliang Tang 72 254 0 19 Nov 2020
Regularizing Neural Networks via Adversarial Model Perturbation Yaowei Zheng Richong Zhang Yongyi Mao AAML 47 96 0 10 Oct 2020
Sharpness-Aware Minimization for Efficiently Improving Generalization Pierre Foret Ariel Kleiner H. Mobahi Behnam Neyshabur AAML 157 1,314 0 03 Oct 2020
Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More Aleksandar Bojchevski Johannes Klicpera Stephan Günnemann AAML 63 85 0 29 Aug 2020
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses Yaxin Li Wei Jin Han Xu Jiliang Tang AAML 45 131 0 13 May 2020
Detached Error Feedback for Distributed SGD with Random Sparsification An Xu Heng-Chiao Huang 47 9 0 11 Apr 2020
Fantastic Generalization Measures and Where to Find Them Yiding Jiang Behnam Neyshabur H. Mobahi Dilip Krishnan Samy Bengio AI4CE 56 599 0 04 Dec 2019
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective Kaidi Xu Hongge Chen Sijia Liu Pin-Yu Chen Tsui-Wei Weng Mingyi Hong Xue Lin AAML 44 449 0 10 Jun 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 153 4,289 0 06 Mar 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning Daniel Zügner Stephan Günnemann OOD AAML GNN 109 569 0 22 Feb 2019
Certified Adversarial Robustness via Randomized Smoothing Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter AAML 94 2,018 0 08 Feb 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 288 8,441 0 03 Jan 2019
Adversarial Attack and Defense on Graph Data: A Survey Lichao Sun Yingtong Dou Carl Yang Ji Wang Yixin Liu Philip S. Yu Lifang He Yangqiu Song GNN AAML 56 276 0 26 Dec 2018
Pitfalls of Graph Neural Network Evaluation Oleksandr Shchur Maximilian Mumme Aleksandar Bojchevski Stephan Günnemann GNN 103 1,345 0 14 Nov 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 186 1,674 0 14 Oct 2018
Adversarial Attacks on Neural Networks for Graph Data Daniel Zügner Amir Akbarnejad Stephan Günnemann GNN AAML OOD 100 1,060 0 21 May 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 296 19,902 0 30 Oct 2017
Exploring Generalization in Deep Learning Behnam Neyshabur Srinadh Bhojanapalli David A. McAllester Nathan Srebro FAtt 132 1,245 0 27 Jun 2017
Sharp Minima Can Generalize For Deep Nets Laurent Dinh Razvan Pascanu Samy Bengio Yoshua Bengio ODL 98 763 0 15 Mar 2017
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 350 2,913 0 15 Sep 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 424 28,795 0 09 Sep 2016