Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2211.03216
Cited By
v1
v2 (latest)
Unlearning Graph Classifiers with Limited Data Resources
The Web Conference (WWW), 2022
6 November 2022
Chao Pan
Eli Chien
O. Milenkovic
MU
Re-assign community
ArXiv (abs)
PDF
HTML
Github
Papers citing
"Unlearning Graph Classifiers with Limited Data Resources"
29 / 29 papers shown
Graph Unlearning via Embedding Reconstruction -- A Range-Null Space Decomposition Approach
Hang Yin
Zipeng Liu
Xiaoyong Peng
Liyao Xiang
MU
181
0
0
04 Aug 2025
Unlearning of Knowledge Graph Embedding via Preference Optimization
Jiajun Liu
Wenjun Ke
Peng Wang
Yao He
Ziyu Shang
Guozheng Li
Zijie Xu
Ke Ji
MU
197
0
0
28 Jul 2025
Unlearning Algorithmic Biases over Graphs
O. Deniz Kose
Gonzalo Mateos
Yanning Shen
MU
FaML
391
0
0
20 May 2025
Node-level Contrastive Unlearning on Graph Neural Networks
Hong kyu Lee
Qiuchen Zhang
Carl Yang
Li Xiong
MU
344
1
0
04 Mar 2025
TAPE: Tailored Posterior Difference for Auditing of Machine Unlearning
The Web Conference (WWW), 2025
Weiqi Wang
Zhiyi Tian
An Liu
Shui Yu
398
7
0
27 Feb 2025
UPCORE: Utility-Preserving Coreset Selection for Balanced Unlearning
Vaidehi Patil
Elias Stengel-Eskin
Joey Tianyi Zhou
MU
CLL
482
6
0
20 Feb 2025
Toward Scalable Graph Unlearning: A Node Influence Maximization based Approach
Miao Hu
Bowen Fan
Zhengyu Wu
Zhiyu Li
Rong-Hua Li
Guoren Wang
MU
321
4
0
21 Jan 2025
OpenGU: A Comprehensive Benchmark for Graph Unlearning
Bowen Fan
Yuming Ai
Miao Hu
Zhilin Guo
Rong-Hua Li
Guoren Wang
MU
403
8
0
06 Jan 2025
Targeted Therapy in Data Removal: Object Unlearning Based on Scene Graphs
Chenhan Zhang
B. Zhao
Hassan Jameel Asghar
Dali Kaafar
MU
363
0
0
25 Nov 2024
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach
Neural Information Processing Systems (NeurIPS), 2024
Hanyang Yuan
Jiarong Xu
Renhong Huang
Mingli Song
Chunping Wang
Yang Yang
AAML
269
3
0
06 Nov 2024
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier
International Conference on Learning Representations (ICLR), 2024
Lu Yi
Zhewei Wei
MU
687
0
0
17 Aug 2024
Verification of Machine Unlearning is Fragile
International Conference on Machine Learning (ICML), 2024
Binchi Zhang
Zihan Chen
Cong Shen
Wenlin Yao
AAML
346
20
0
01 Aug 2024
Towards Certified Unlearning for Deep Neural Networks
International Conference on Machine Learning (ICML), 2024
Binchi Zhang
Yushun Dong
Tianhao Wang
Wenlin Yao
MU
536
29
0
01 Aug 2024
Machine Unlearning in Generative AI: A Survey
Zheyuan Liu
Guangyao Dou
Zhaoxuan Tan
Yijun Tian
Meng Jiang
MU
406
49
0
30 Jul 2024
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks
Knowledge Discovery and Data Mining (KDD), 2024
Yushun Dong
Binchi Zhang
Zhenyu Lei
Na Zou
Jundong Li
MU
319
24
0
28 Jul 2024
Graph Transductive Defense: a Two-Stage Defense for Graph Membership Inference Attacks
Peizhi Niu
Chao Pan
Siheng Chen
Olgica Milenkovic
AAML
351
0
0
12 Jun 2024
Dynamic Graph Unlearning: A General and Efficient Post-Processing Method via Gradient Transformation
The Web Conference (WWW), 2024
He Zhang
Bang Wu
Xiangwen Yang
Lizhen Qu
Chengqi Zhang
Shirui Pan
MU
230
0
0
23 May 2024
Safety in Graph Machine Learning: Threats and Safeguards
Song Wang
Yushun Dong
Binchi Zhang
Zihan Chen
Xingbo Fu
Yinhan He
Cong Shen
Chuxu Zhang
Nitesh Chawla
Wenlin Yao
410
11
0
17 May 2024
Machine Unlearning for Recommendation Systems: An Insight
Bhavika Sachdeva
Harshita Rathee
Sristi
Arun Sharma
Witold Wydmañski
MU
408
11
0
17 Jan 2024
GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks
Network and Distributed System Security Symposium (NDSS), 2023
Bang Wu
He Zhang
Xiangwen Yang
Shuo Wang
Minhui Xue
Shirui Pan
Lizhen Qu
269
15
0
13 Dec 2023
DUCK: Distance-based Unlearning via Centroid Kinematics
Marco Cotogni
Jacopo Bonato
Luigi Sabetta
Francesco Pelosin
Alessandro Nicolosi
MU
499
20
0
04 Dec 2023
Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning
The Web Conference (WWW), 2023
Zheyuan Liu
Guangyao Dou
Yijun Tian
Chunhui Zhang
Eli Chien
Ziwei Zhu
MU
334
32
0
28 Oct 2023
Distill to Delete: Unlearning in Graph Networks with Knowledge Distillation
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Yash Sinha
Murari Mandal
Mohan S. Kankanhalli
MU
305
19
0
28 Sep 2023
A Survey of Graph Unlearning
Anwar Said
Hanyu Wang
Yuying Zhao
Tyler Derr
Mudassir Shabbir
W. Abbas
X. Koutsoukos
MU
643
11
0
23 Aug 2023
Machine Unlearning: Solutions and Challenges
IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2023
Jie Xu
Zihan Wu
Cong Wang
Xiaohua Jia
MU
529
122
0
14 Aug 2023
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection
Neural Information Processing Systems (NeurIPS), 2023
Eli Chien
Wei-Ning Chen
Chao Pan
Pan Li
Ayfer Özgür
O. Milenkovic
463
24
0
12 Jul 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
T. Shaik
Xiaohui Tao
Haoran Xie
Lin Li
Xiaofeng Zhu
Qingyuan Li
MU
606
65
0
10 May 2023
Machine Unlearning of Federated Clusters
International Conference on Learning Representations (ICLR), 2022
Chao Pan
Jin Sima
Saurav Prakash
Vishal Rana
O. Milenkovic
FedML
MU
309
42
0
28 Oct 2022
Benchmarking Graph Neural Networks
Journal of machine learning research (JMLR), 2023
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
1.6K
1,141
0
02 Mar 2020
1
Page 1 of 1
