GIF: A General Graph Unlearning Strategy via Influence Function

6 April 2023

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

35 / 35 papers shown

Title
PRUNE: A Patching Based Repair Framework for Certiffable Unlearning of Neural Networks X. Li Jingyi Wang Xiaohan Yuan Peixin Zhang Z. Qin Zhibo Wang Kui Ren AAML MU 42 0 0 10 May 2025
Node-level Contrastive Unlearning on Graph Neural Networks Hong kyu Lee Qiuchen Zhang Carl Yang Li Xiong MU 38 0 0 04 Mar 2025
TAPE: Tailored Posterior Difference for Auditing of Machine Unlearning Weiqi Wang Zhiyi Tian An Liu Shui Yu 74 0 0 27 Feb 2025
Addressing Delayed Feedback in Conversion Rate Prediction via Influence Functions Chenlu Ding Jiancan Wu Yancheng Yuan Junfeng Fang Cunchun Li Xiang Wang Xiangnan He 61 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 30 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 H. Asghar Dali Kaafar MU 78 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 18 1 0 09 Oct 2024
Community-Centric Graph Unlearning Yi Li Shichao Zhang Guixian Zhang Debo Cheng MU 19 0 0 19 Aug 2024
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier Lu Yi Zhewei Wei MU 51 0 0 17 Aug 2024
Verification of Machine Unlearning is Fragile Binchi Zhang Zihan Chen Cong Shen Jundong Li AAML 68 4 0 01 Aug 2024
Towards Certified Unlearning for Deep Neural Networks Binchi Zhang Yushun Dong Tianhao Wang Jundong Li MU 57 6 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 72 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 44 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 52 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 Jundong Li 37 7 0 17 May 2024
Machine Unlearning: A Comprehensive Survey Weiqi Wang Zhiyi Tian Chenhan Zhang Shui Yu MU AILaw 30 13 0 13 May 2024
LMEraser: Large Model Unlearning through Adaptive Prompt Tuning Jie Xu Zihan Wu Cong Wang Xiaohua Jia MU 18 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 16 3 0 12 Mar 2024
Graph Unlearning with Efficient Partial Retraining Jiahao Zhang Lin Wang Shijie Wang Wenqi Fan MU 33 7 0 12 Mar 2024
Unlink to Unlearn: Simplifying Edge Unlearning in GNNs Jiajun Tan Fei Sun Ruichen Qiu Du Su Huawei Shen MU 10 7 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 20 13 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 6 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 54 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 8 5 0 09 Dec 2023
Distill to Delete: Unlearning in Graph Networks with Knowledge Distillation Yash Sinha Murari Mandal Mohan S. Kankanhalli MU 27 10 0 28 Sep 2023
A Survey of Graph Unlearning Anwar Said Tyler Derr Mudassir Shabbir W. Abbas X. Koutsoukos MU 21 7 0 23 Aug 2023
Machine Unlearning: Solutions and Challenges Jie Xu Zihan Wu Cong Wang Xiaohua Jia MU 33 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 30 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 14 130 0 18 Apr 2022
Making Recommender Systems Forget: Learning and Unlearning for Erasable Recommendation Yuyuan Li Xiaolin Zheng Chaochao Chen Junlin Liu MU 26 39 0 22 Mar 2022
Discovering Invariant Rationales for Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xiangnan He Tat-Seng Chua OOD AI4CE 89 222 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 229 1,935 0 09 Jun 2018