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SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks

SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks

29 August 2024
Xing Ai
Guanyu Zhu
Yulin Zhu
Yu Zheng
Gaolei Li
Jianhua Li
Kai Zhou
    AAML
ArXivPDFHTML

Papers citing "SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks"

12 / 12 papers shown
Title
Black-Box Attacks against Signed Graph Analysis via Balance Poisoning
Black-Box Attacks against Signed Graph Analysis via Balance Poisoning
Jialong Zhou
Y. Lai
Jian Ren
Kai Zhou
AAML
35
4
0
05 Sep 2023
Towards Reasonable Budget Allocation in Untargeted Graph Structure
  Attacks via Gradient Debias
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias
Zihan Liu
Yun Luo
Lirong Wu
Zicheng Liu
Stan Z. Li
AAML
53
26
0
29 Mar 2023
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node
  Classification
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification
Yulin Zhu
Liang Tong
Gaolei Li
Xiapu Luo
Kai Zhou
49
6
0
25 Oct 2022
Scalable Graph Neural Networks via Bidirectional Propagation
Scalable Graph Neural Networks via Bidirectional Propagation
Ming Chen
Zhewei Wei
Bolin Ding
Yaliang Li
Ye Yuan
Xiaoyong Du
Ji-Rong Wen
GNN
47
145
0
29 Oct 2020
Graph Structure Learning for Robust Graph Neural Networks
Graph Structure Learning for Robust Graph Neural Networks
Wei Jin
Yao Ma
Xiaorui Liu
Xianfeng Tang
Suhang Wang
Jiliang Tang
OOD
AAML
82
703
0
20 May 2020
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses
Yaxin Li
Wei Jin
Han Xu
Jiliang Tang
AAML
76
132
0
13 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
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
303
2,730
0
02 May 2020
Topology Attack and Defense for Graph Neural Networks: An Optimization
  Perspective
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
52
450
0
10 Jun 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning
Adversarial Attacks on Graph Neural Networks via Meta Learning
Daniel Zügner
Stephan Günnemann
OOD
AAML
GNN
126
572
0
22 Feb 2019
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
238
7,642
0
01 Oct 2018
Adversarial Attacks on Node Embeddings via Graph Poisoning
Adversarial Attacks on Node Embeddings via Graph Poisoning
Aleksandar Bojchevski
Stephan Günnemann
AAML
62
305
0
04 Sep 2018
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
614
29,051
0
09 Sep 2016
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