Reliable Graph Neural Networks via Robust Aggregation

Reliable Graph Neural Networks via Robust Aggregation

29 October 2020

Stephan Günnemann

Papers citing "Reliable Graph Neural Networks via Robust Aggregation"

19 / 19 papers shown

Title
Debiased Graph Poisoning Attack via Contrastive Surrogate Objective Kanghoon Yoon Yeonjun In Namkyeong Lee Kibum Kim Chanyoung Park AAML 36 2 0 27 Jul 2024
RobGC: Towards Robust Graph Condensation Xinyi Gao Hongzhi Yin Tong Chen Guanhua Ye Wentao Zhang Bin Cui AAML 67 3 0 19 Jun 2024
AttackGNN: Red-Teaming GNNs in Hardware Security Using Reinforcement Learning Vasudev Gohil Satwik Patnaik D. Kalathil Jeyavijayan Rajendran AAML 42 3 0 21 Feb 2024
Local Structure-aware Graph Contrastive Representation Learning Kai Yang Yuan Liu Zijuan Zhao P. Ding Wen-feng Zhao 35 3 0 07 Aug 2023
Revisiting Robustness in Graph Machine Learning Lukas Gosch Daniel Sturm Simon Geisler Stephan Günnemann AAML OOD 77 22 0 01 May 2023
Are Defenses for Graph Neural Networks Robust? Felix Mujkanovic Simon Geisler Stephan Günnemann Aleksandar Bojchevski OOD AAML 21 57 0 31 Jan 2023
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks Yan Scholten Jan Schuchardt Simon Geisler Aleksandar Bojchevski Stephan Günnemann AAML 29 16 0 05 Jan 2023
Robust Graph Representation Learning via Predictive Coding Billy Byiringiro Tommaso Salvatori Thomas Lukasiewicz OOD 31 6 0 09 Dec 2022
Graph Neural Network Surrogate for Seismic Reliability Analysis of Highway Bridge Systems Tong Liu Hadi Meidani 30 10 0 12 Oct 2022
Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN Kuan Li Yang Liu Xiang Ao Jianfeng Chi Jinghua Feng Hao Yang Qing He AAML 51 64 0 30 Jun 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 47 104 0 16 May 2022
Generalizing Aggregation Functions in GNNs:High-Capacity GNNs via Nonlinear Neighborhood Aggregators Beibei Wang Bo Jiang AI4CE 19 2 0 18 Feb 2022
Robustness of Graph Neural Networks at Scale Simon Geisler Tobias Schmidt Hakan cSirin Daniel Zügner Aleksandar Bojchevski Stephan Günnemann AAML 30 126 0 26 Oct 2021
Node Feature Kernels Increase Graph Convolutional Network Robustness M. Seddik Changmin Wu J. Lutzeyer Michalis Vazirgiannis AAML 32 8 0 04 Sep 2021
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection Yu Zheng Ming Jin Yixin Liu Lianhua Chi K. Phan Yi-Ping Phoebe Chen 22 122 0 23 Aug 2021
Understanding Structural Vulnerability in Graph Convolutional Networks Liang Chen Jintang Li Qibiao Peng Yang Liu Zibin Zheng Carl Yang AAML 21 58 0 13 Aug 2021
How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications Jiong Zhu Junchen Jin Donald Loveland Michael T. Schaub Danai Koutra AAML 32 35 0 14 Jun 2021
Towards a Unified Framework for Fair and Stable Graph Representation Learning Chirag Agarwal Himabindu Lakkaraju Marinka Zitnik 27 157 0 25 Feb 2021
Data-Driven Certification of Neural Networks with Random Input Noise Brendon G. Anderson Somayeh Sojoudi AAML 21 11 0 02 Oct 2020