ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2011.14365
  4. Cited By
A Targeted Universal Attack on Graph Convolutional Network

A Targeted Universal Attack on Graph Convolutional Network

29 November 2020
Jiazhu Dai
Weifeng Zhu
Xiangfeng Luo
    AAML
    GNN
ArXivPDFHTML

Papers citing "A Targeted Universal Attack on Graph Convolutional Network"

4 / 4 papers shown
Title
Effective backdoor attack on graph neural networks in link prediction tasks
Effective backdoor attack on graph neural networks in link prediction tasks
Jiazhu Dai
Haoyu Sun
GNN
61
3
0
05 Jan 2024
Sparse Vicious Attacks on Graph Neural Networks
Sparse Vicious Attacks on Graph Neural Networks
Giovanni Trappolini
Valentino Maiorca
Silvio Severino
Emanuele Rodolà
Fabrizio Silvestri
Gabriele Tolomei
AAML
30
8
0
20 Sep 2022
Robust Node Classification on Graphs: Jointly from Bayesian Label
  Transition and Topology-based Label Propagation
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation
Jun Zhuang
M. Hasan
36
20
0
21 Aug 2022
Recent Advances in Reliable Deep Graph Learning: Inherent Noise,
  Distribution Shift, and Adversarial Attack
Recent Advances in Reliable Deep Graph Learning: Inherent Noise, Distribution Shift, and Adversarial Attack
Jintang Li
Bingzhe Wu
Chengbin Hou
Guoji Fu
Yatao Bian
Liang Chen
Junzhou Huang
Zibin Zheng
OOD
AAML
32
6
0
15 Feb 2022
1