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Inductive Graph Unlearning

Inductive Graph Unlearning

6 April 2023
Cheng-Long Wang
Mengdi Huai
Di Wang
    MU
ArXivPDFHTML

Papers citing "Inductive Graph Unlearning"

18 / 18 papers shown
Title
Enabling Group Fairness in Graph Unlearning via Bi-level Debiasing
Enabling Group Fairness in Graph Unlearning via Bi-level Debiasing
Yezi Liu
Prathyush P. Poduval
Wenjun Huang
Yang Ni
Hanning Chen
Mohsen Imani
MU
35
0
0
14 May 2025
Targeted Therapy in Data Removal: Object Unlearning Based on Scene Graphs
Chenhan Zhang
B. Zhao
Hassan Jameel Asghar
Dali Kaafar
MU
80
0
0
25 Nov 2024
Game-Theoretic Machine Unlearning: Mitigating Extra Privacy Leakage
Game-Theoretic Machine Unlearning: Mitigating Extra Privacy Leakage
Hengzhu Liu
Tianqing Zhu
Lefeng Zhang
Ping Xiong
MU
39
0
0
06 Nov 2024
Can Graph Neural Networks Expose Training Data Properties? An Efficient
  Risk Assessment Approach
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach
Hanyang Yuan
Jiarong Xu
Renhong Huang
Mingli Song
Chunping Wang
Yang Yang
AAML
38
1
0
06 Nov 2024
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier
Lu Yi
Zhewei Wei
MU
61
1
0
17 Aug 2024
Releasing Malevolence from Benevolence: The Menace of Benign Data on
  Machine Unlearning
Releasing Malevolence from Benevolence: The Menace of Benign Data on Machine Unlearning
Binhao Ma
Tianhang Zheng
Hongsheng Hu
Di Wang
Shuo Wang
Zhongjie Ba
Zhan Qin
Kui Ren
AAML
33
3
0
06 Jul 2024
GraphMU: Repairing Robustness of Graph Neural Networks via Machine
  Unlearning
GraphMU: Repairing Robustness of Graph Neural Networks via Machine Unlearning
Tao Wu
Xinwen Cao
Chao Wang
Shaojie Qiao
Xingping Xian
Lin Yuan
Canyixing Cui
Yanbing Liu
AAML
44
1
0
19 Jun 2024
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks
Hengzhu Liu
Ping Xiong
Tianqing Zhu
Philip S. Yu
32
6
0
10 Jun 2024
Exploring Fairness in Educational Data Mining in the Context of the
  Right to be Forgotten
Exploring Fairness in Educational Data Mining in the Context of the Right to be Forgotten
Wei Qian
Aobo Chen
Chenxu Zhao
Yangyi Li
Mengdi Huai
MU
34
0
0
27 May 2024
Machine Unlearning: A Comprehensive Survey
Machine Unlearning: A Comprehensive Survey
Weiqi Wang
Zhiyi Tian
Chenhan Zhang
Shui Yu
MU
AILaw
34
14
0
13 May 2024
Distill to Delete: Unlearning in Graph Networks with Knowledge
  Distillation
Distill to Delete: Unlearning in Graph Networks with Knowledge Distillation
Yash Sinha
Murari Mandal
Mohan S. Kankanhalli
MU
34
10
0
28 Sep 2023
A Survey of Graph Unlearning
A Survey of Graph Unlearning
Anwar Said
Tyler Derr
Mudassir Shabbir
W. Abbas
X. Koutsoukos
MU
28
7
0
23 Aug 2023
Machine Unlearning: Solutions and Challenges
Machine Unlearning: Solutions and Challenges
Jie Xu
Zihan Wu
Cong Wang
Xiaohua Jia
MU
43
46
0
14 Aug 2023
Fair Machine Unlearning: Data Removal while Mitigating Disparities
Fair Machine Unlearning: Data Removal while Mitigating Disparities
Alexander X. Oesterling
Jiaqi Ma
Flavio du Pin Calmon
Hima Lakkaraju
FaML
MU
28
19
0
27 Jul 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey
  and Taxonomy
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy
T. Shaik
Xiaohui Tao
Haoran Xie
Lin Li
Xiaofeng Zhu
Qingyuan Li
MU
36
25
0
10 May 2023
Proof of Unlearning: Definitions and Instantiation
Proof of Unlearning: Definitions and Instantiation
Jiasi Weng
Shenglong Yao
Yuefeng Du
Junjie Huang
Jian Weng
Cong Wang
MU
28
12
0
20 Oct 2022
Rethinking Graph Neural Networks for Anomaly Detection
Rethinking Graph Neural Networks for Anomaly Detection
Jianheng Tang
Jiajin Li
Zi-Chao Gao
Jia Li
71
205
0
31 May 2022
Mixed-Privacy Forgetting in Deep Networks
Mixed-Privacy Forgetting in Deep Networks
Aditya Golatkar
Alessandro Achille
Avinash Ravichandran
M. Polito
Stefano Soatto
CLL
MU
130
159
0
24 Dec 2020
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