Sparse Vicious Attacks on Graph Neural Networks

20 September 2022

Valentino Maiorca

Gabriele Tolomei

Papers citing "Sparse Vicious Attacks on Graph Neural Networks"

22 / 22 papers shown

Title
Augmented Language Models: a Survey Grégoire Mialon Roberto Dessì Maria Lomeli Christoforos Nalmpantis Ramakanth Pasunuru ... Jane Dwivedi-Yu Asli Celikyilmaz Edouard Grave Yann LeCun Thomas Scialom LRM KELM 65 378 0 15 Feb 2023
GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations Ziheng Chen Fabrizio Silvestri Jia Wang Yongfeng Zhang Zhenhua Huang H. Ahn Gabriele Tolomei CML 47 27 0 04 Aug 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Jiliang Tang Suhang Wang 59 137 0 18 Apr 2022
ReLAX: Reinforcement Learning Agent eXplainer for Arbitrary Predictive Models Kiran Purohit Soumili Das Jia Wang He Zhu Santu Rana Gabriele Tolomei CML OffRL 61 37 0 22 Oct 2021
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks Ana Lucic Maartje ter Hoeve Gabriele Tolomei Maarten de Rijke Fabrizio Silvestri 132 145 0 05 Feb 2021
A Targeted Universal Attack on Graph Convolutional Network Jiazhu Dai Weifeng Zhu Xiangfeng Luo AAML GNN 32 19 0 29 Nov 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 510 41,106 0 28 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 227 2,701 0 02 May 2020
Scalable Attack on Graph Data by Injecting Vicious Nodes Jihong Wang Minnan Luo Fnu Suya Jundong Li Z. Yang Q. Zheng AAML GNN 62 87 0 22 Apr 2020
GraphSAINT: Graph Sampling Based Inductive Learning Method Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava Rajgopal Kannan Viktor Prasanna GNN 118 962 0 10 Jul 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 169 4,303 0 06 Mar 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 323 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
Attack Graph Convolutional Networks by Adding Fake Nodes Xiaoyun Wang Minhao Cheng Joe Eaton Cho-Jui Hsieh S. F. Wu AAML GNN 62 78 0 25 Oct 2018
Adversarial Attacks on Neural Networks for Graph Data Daniel Zügner Amir Akbarnejad Stephan Günnemann GNN AAML OOD 113 1,060 0 21 May 2018
Link Prediction Based on Graph Neural Networks Muhan Zhang Yixin Chen GNN 54 1,912 0 27 Feb 2018
Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking Gabriele Tolomei Fabrizio Silvestri Andrew Haines M. Lalmas 40 207 0 20 Jun 2017
Training Sparse Neural Networks Suraj Srinivas Akshayvarun Subramanya R. Venkatesh Babu 93 207 0 21 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 485 28,901 0 09 Sep 2016
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 182 18,922 0 20 Dec 2014
Predicting Positive and Negative Links in Online Social Networks J. Leskovec D. Huttenlocher Jon M. Kleinberg 80 1,632 0 11 Mar 2010
Signed Networks in Social Media J. Leskovec D. Huttenlocher Jon M. Kleinberg 83 1,477 0 11 Mar 2010