GIF: A General Graph Unlearning Strategy via Influence Function

6 April 2023

Papers citing "GIF: A General Graph Unlearning Strategy via Influence Function"

37 / 37 papers shown

Title
Adaptive Graph Unlearning Pengfei Ding Yan Wang Guanfeng Liu Jiajie Zhu MU 19 0 0 19 May 2025
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
PRUNE: A Patching Based Repair Framework for Certiffable Unlearning of Neural Networks Xuzhao Li Jingyi Wang Xiaohan Yuan Peixin Zhang Zhanyue Qin Zhibo Wang Kui Ren AAML MU 52 0 0 10 May 2025
Node-level Contrastive Unlearning on Graph Neural Networks Hong kyu Lee Qiuchen Zhang Carl Yang Li Xiong MU 43 0 0 04 Mar 2025
TAPE: Tailored Posterior Difference for Auditing of Machine Unlearning Weiqi Wang Zhiyi Tian An Liu Shui Yu 79 0 0 27 Feb 2025
Addressing Delayed Feedback in Conversion Rate Prediction via Influence Functions Chenlu Ding Jiancan Wu Yancheng Yuan Fan Zhang Cunchun Li Xiang Wang Xiangnan He 71 1 0 01 Feb 2025
Toward Scalable Graph Unlearning: A Node Influence Maximization based Approach Xunkai Li Bowen Fan Zhengyu Wu Zhiyu Li Rong-Hua Li Guoren Wang MU 35 0 0 21 Jan 2025
OpenGU: A Comprehensive Benchmark for Graph Unlearning Bowen Fan Yuming Ai Xunkai Li Zhilin Guo Rong-Hua Li Guoren Wang MU 43 0 0 06 Jan 2025
Unified Parameter-Efficient Unlearning for LLMs Chenlu Ding Jiancan Wu Yancheng Yuan Jinda Lu Kai Zhang Alex Su Xiang Wang Xiangnan He MU KELM 100 6 0 30 Nov 2024
Targeted Therapy in Data Removal: Object Unlearning Based on Scene Graphs Chenhan Zhang B. Zhao Hassan Jameel Asghar Dali Kaafar MU 83 0 0 25 Nov 2024
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
TCGU: Data-centric Graph Unlearning based on Transferable Condensation Fan Li Xiaoyang Wang Dawei Cheng Wenjie Zhang Ying Zhang Xuemin Lin MU 33 2 0 09 Oct 2024
Community-Centric Graph Unlearning Yi Li Shichao Zhang Guixian Zhang Debo Cheng MU 24 0 0 19 Aug 2024
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier Lu Yi Zhewei Wei MU 64 0 0 17 Aug 2024
Verification of Machine Unlearning is Fragile Binchi Zhang Zihan Chen Cong Shen Wenlin Yao AAML 79 5 0 01 Aug 2024
Towards Certified Unlearning for Deep Neural Networks Binchi Zhang Yushun Dong Tianhao Wang Wenlin Yao MU 64 7 0 01 Aug 2024
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks Yushun Dong Binchi Zhang Zhenyu Lei Na Zou Jundong Li MU 80 5 0 28 Jul 2024
Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks Jiaxing Miao Liang Hu Qi Zhang LongBing Cao CLL 51 0 0 27 Jul 2024
Machine Unlearning Fails to Remove Data Poisoning Attacks Martin Pawelczyk Jimmy Z. Di Yiwei Lu Gautam Kamath Ayush Sekhari Seth Neel AAML MU 60 8 0 25 Jun 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 V. Chawla Wenlin Yao 45 7 0 17 May 2024
Machine Unlearning: A Comprehensive Survey Weiqi Wang Zhiyi Tian Chenhan Zhang Shui Yu MU AILaw 34 14 0 13 May 2024
LMEraser: Large Model Unlearning through Adaptive Prompt Tuning Jie Xu Zihan Wu Cong Wang Xiaohua Jia MU 25 1 0 17 Apr 2024
Towards Independence Criterion in Machine Unlearning of Features and Labels Ling Han Nanqing Luo Hao Huang Jing Chen Mary-Anne Hartley MU 24 4 0 12 Mar 2024
Graph Unlearning with Efficient Partial Retraining Jiahao Zhang Lin Wang Shijie Wang Wenqi Fan MU 39 7 0 12 Mar 2024
Unlink to Unlearn: Simplifying Edge Unlearning in GNNs Jiajun Tan Fei Sun Ruichen Qiu Du Su Huawei Shen MU 12 8 0 16 Feb 2024
Towards Effective and General Graph Unlearning via Mutual Evolution Xunkai Li Yulin Zhao Zhengyu Wu Wentao Zhang Ronghua Li Guoren Wang MU 33 14 0 22 Jan 2024
On the Effectiveness of Unlearning in Session-Based Recommendation Xin Xin Liu Yang Ziqi Zhao Pengjie Ren Zhumin Chen Jun Ma Zhaochun Ren MU 32 2 0 22 Dec 2023
GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks Bang Wu He Zhang Xiangwen Yang Shuo Wang Minhui Xue Shirui Pan Xingliang Yuan 61 6 0 13 Dec 2023
Deeper Understanding of Black-box Predictions via Generalized Influence Functions Hyeonsu Lyu Jonggyu Jang Sehyun Ryu H. Yang TDI AI4CE 20 5 0 09 Dec 2023
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 Anwar Said Tyler Derr Mudassir Shabbir W. Abbas X. Koutsoukos MU 28 7 0 23 Aug 2023
Machine Unlearning: Solutions and Challenges Jie Xu Zihan Wu Cong Wang Xiaohua Jia MU 46 46 0 14 Aug 2023
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
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Jiliang Tang Suhang Wang 31 132 0 18 Apr 2022
Making Recommender Systems Forget: Learning and Unlearning for Erasable Recommendation Yuyuan Li Xiaolin Zheng Chaochao Chen Junlin Liu MU 39 40 0 22 Mar 2022
Discovering Invariant Rationales for Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xiangnan He Tat-Seng Chua OOD AI4CE 99 224 0 30 Jan 2022
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 270 1,944 0 09 Jun 2018