Adversarial Attack on Graph Neural Networks as An Influence Maximization
Problem

Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem

21 June 2021

Jiaqi Ma

Junwei Deng

Papers citing "Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem"

8 / 8 papers shown

Title
RIDA: A Robust Attack Framework on Incomplete Graphs Jianke Yu Hanchen Wang Chen Chen Xiaoyang Wang Wenjie Zhang Ying Zhang Ying Zhang Xijuan Liu GNN OOD AAML 41 1 0 25 Jul 2024
Adversarial Attacks on Fairness of Graph Neural Networks Binchi Zhang Yushun Dong Chen Chen Yada Zhu Minnan Luo Jundong Li 43 3 0 20 Oct 2023
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach Kai Zhao Qiyu Kang Yang Song Rui She Sijie Wang Wee Peng Tay AAML 40 22 0 10 Oct 2023
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks Haoran Liu Bokun Wang Jianling Wang Xiangjue Dong Tianbao Yang James Caverlee AAML 34 3 0 29 Aug 2023
Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning Dayuan Chen Jian Zhang Yuqian Lv Jinhuan Wang Hongjie Ni Shanqing Yu Zhen Wang Qi Xuan AAML 23 3 0 04 May 2023
A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization Yandi Li Haobo Gao Yunxuan Gao Jianxiong Guo Weili Wu 24 38 0 06 Nov 2022
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 273 1,944 0 09 Jun 2018
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 183 1,185 0 30 Nov 2014