Revisiting Edge Perturbation for Graph Neural Network in Graph Data
Augmentation and Attack

Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack

10 March 2024

Xiaochun Ye

Papers citing "Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack"

16 / 16 papers shown

Title
Learning on Large-scale Text-attributed Graphs via Variational Inference Jianan Zhao Meng Qu Chaozhuo Li Hao Yan Qian Liu Rui Li Xing Xie Jian Tang VLM 71 135 0 26 Oct 2022
Bilinear Scoring Function Search for Knowledge Graph Learning Yongqi Zhang Quanming Yao James T. Kwok 20 20 0 01 Jul 2021
Training Robust Graph Neural Networks with Topology Adaptive Edge Dropping Zhangyang Gao S. Bhattacharya Leiming Zhang Rick S. Blum Alejandro Ribeiro Brian M. Sadler 51 25 0 05 Jun 2021
Adversarial Attack on Large Scale Graph Jintang Li Tao Xie Liang Chen Fenfang Xie Xiangnan He Zibin Zheng AAML 42 67 0 08 Sep 2020
A Note on Over-Smoothing for Graph Neural Networks Chen Cai Yusu Wang 51 266 0 23 Jun 2020
Data Augmentation for Graph Neural Networks Tong Zhao Yozen Liu Leonardo Neves Oliver J. Woodford Meng Jiang Neil Shah GNN 78 409 0 11 Jun 2020
Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models Xiao Zang Yi Xie Jie Chen Bo Yuan AAML 34 47 0 12 Feb 2020
A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models Heng Chang Yu Rong Tingyang Xu Wenbing Huang Honglei Zhang Peng Cui Wenwu Zhu Junzhou Huang AAML 41 153 0 04 Aug 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification Yu Rong Wenbing Huang Tingyang Xu Junzhou Huang 66 1,323 0 25 Jul 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
Graph U-Nets Hongyang Gao Shuiwang Ji AI4CE SSL SSeg GNN 60 1,073 0 11 May 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning Daniel Zügner Stephan Günnemann OOD AAML GNN 109 569 0 22 Feb 2019
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks Christopher Morris Martin Ritzert Matthias Fey William L. Hamilton J. E. Lenssen Gaurav Rattan Martin Grohe GNN 125 1,625 0 04 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 134 7,554 0 01 Oct 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 147 3,433 0 09 Mar 2018
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting Zhiyong Cui Kristian C. Henrickson Ruimin Ke Ziyuan Pu Yinhai Wang GNN AI4TS 81 745 0 20 Feb 2018