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"

22 / 22 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 22 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 54 25 0 05 Jun 2021
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 73 225 0 30 Sep 2020
Adversarial Attack on Large Scale Graph Jintang Li Tao Xie Liang Chen Fenfang Xie Xiangnan He Zibin Zheng AAML 45 67 0 08 Sep 2020
Towards Deeper Graph Neural Networks Meng Liu Hongyang Gao Shuiwang Ji GNN AI4CE 74 604 0 18 Jul 2020
A Note on Over-Smoothing for Graph Neural Networks Chen Cai Yusu Wang 53 266 0 23 Jun 2020
Data Augmentation for Graph Neural Networks Tong Zhao Yozen Liu Leonardo Neves Oliver J. Woodford Meng Jiang Neil Shah GNN 81 409 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 42 47 0 12 Feb 2020
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View Deli Chen Yankai Lin Wei Li Peng Li Jie Zhou Xu Sun 68 1,096 0 07 Sep 2019
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 49 153 0 04 Aug 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification Yu Rong Wenbing Huang Tingyang Xu Junzhou Huang 72 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 47 450 0 10 Jun 2019
Graph U-Nets Hongyang Gao Shuiwang Ji AI4CE SSL SSeg GNN 69 1,073 0 11 May 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning Daniel Zügner Stephan Günnemann OOD AAML GNN 115 569 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 131 1,625 0 04 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 148 7,554 0 01 Oct 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 168 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 83 745 0 20 Feb 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 309 19,991 0 30 Oct 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 434 28,901 0 09 Sep 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 165 8,513 0 16 Aug 2016