Uncertainty-aware Attention Graph Neural Network for Defending
Adversarial Attacks

Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks

22 September 2020

Papers citing "Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks"

14 / 14 papers shown

Title
Uncertainty Quantification for Machine Learning in Healthcare: A Survey L. J. L. Lopez Shaza Elsharief Dhiyaa Al Jorf Firas Darwish Congbo Ma Farah E. Shamout 155 0 0 04 May 2025
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning Naheed Anjum Arafat D. Basu Yulia R. Gel Yuzhou Chen AAML 184 0 0 21 Sep 2024
Conformalized Link Prediction on Graph Neural Networks Tianyi Zhao Jian Kang Lu Cheng 39 7 0 26 Jun 2024
Uncertainty in Graph Neural Networks: A Survey Fangxin Wang Yuqing Liu Kay Liu Yibo Wang Sourav Medya Philip S. Yu AI4CE 48 8 0 11 Mar 2024
Graph Convolutional Network with Connectivity Uncertainty for EEG-based Emotion Recognition Hongxiang Gao Xiangyao Wang Zhenghua Chen Min-man Wu Zhipeng Cai Lulu Zhao Jianqing Li Chengyu Liu 38 9 0 22 Oct 2023
Prompt2Gaussia: Uncertain Prompt-learning for Script Event Prediction Shiyao Cui Xin Cong Shuaiyi Nie Xuebin Wang Tingwen Liu Jinqiao Shi 22 0 0 04 Aug 2023
A Survey on Uncertainty Quantification Methods for Deep Learning Wenchong He Zhe Jiang Tingsong Xiao Zelin Xu Yukun Li BDL UQCV AI4CE 19 18 0 26 Feb 2023
Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks Jan Schuchardt Aleksandar Bojchevski Johannes Gasteiger Stephan Günnemann AAML 21 25 0 06 Feb 2023
Are Defenses for Graph Neural Networks Robust? Felix Mujkanovic Simon Geisler Stephan Günnemann Aleksandar Bojchevski OOD AAML 21 56 0 31 Jan 2023
Identifying Ambiguous Similarity Conditions via Semantic Matching Han-Jia Ye Yi Shi De-Chuan Zhan CoGe 36 7 0 08 Apr 2022
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges S. Thais P. Calafiura G. Chachamis G. Dezoort Javier Mauricio Duarte S. Ganguly Michael Kagan D. Murnane Mark S. Neubauer K. Terao PINN AI4CE 34 30 0 23 Mar 2022
Reliable Graph Neural Networks for Drug Discovery Under Distributional Shift Kehang Han Balaji Lakshminarayanan J. Liu OOD GNN 19 33 0 25 Nov 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 41 81 0 26 Oct 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015