Official implementation of "Graph Unlearning" (ACM CCS 2022)
☆54Jul 24, 2025Updated 8 months ago
Alternatives and similar repositories for Graph-Unlearning
Users that are interested in Graph-Unlearning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆27Oct 16, 2022Updated 3 years ago
- Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)☆20Feb 17, 2023Updated 3 years ago
- Test for Graph Unlearning Benchmark☆19Jul 12, 2025Updated 9 months ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆50May 20, 2022Updated 3 years ago
- ☆42Nov 24, 2023Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆10Mar 23, 2025Updated last year
- [NeurIPS 2022] Explaining Graph Neural Networks with Structure-Aware Cooperative Games (GStarX)☆14Oct 20, 2022Updated 3 years ago
- ☆10Aug 13, 2021Updated 4 years ago
- Locally Private Graph Neural Networks (ACM CCS 2021)☆50Jul 2, 2025Updated 9 months ago
- [IEEE S&P 22] "LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis" by Fan Wu, Yunhui Long, Ce Zhang, …☆23Sep 7, 2021Updated 4 years ago
- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆25May 27, 2025Updated 10 months ago
- ☆30May 8, 2023Updated 2 years ago
- Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"☆37Oct 6, 2023Updated 2 years ago
- Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".☆28Jul 8, 2022Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Awesome Machine Unlearning (A Survey of Machine Unlearning)☆941Apr 4, 2026Updated last week
- "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.☆30Oct 18, 2023Updated 2 years ago
- Official Pytorch implementation of IJCAI'21 paper "GraphMI: Extracting Private Graph Data from Graph Neural Networks"☆13Nov 19, 2021Updated 4 years ago
- PyTorch implementation of Attentional Factorization Machines☆10May 30, 2019Updated 6 years ago
- ☆10May 14, 2023Updated 2 years ago
- Likelihood Ratio Attack (LiRA) in PyTorch☆17Mar 3, 2025Updated last year
- Existing Literature about Machine Unlearning☆959Aug 29, 2025Updated 7 months ago
- ☆15May 1, 2020Updated 5 years ago
- Code related to the paper "Machine Unlearning of Features and Labels"☆71Feb 13, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- [NeurIPS24] "What makes unlearning hard and what to do about it" [NeurIPS24] "Scalability of memorization-based machine unlearning"☆21May 24, 2025Updated 10 months ago
- ☆50Feb 27, 2021Updated 5 years ago
- huggingface ChineseBert Tokenizer☆17Apr 16, 2022Updated 3 years ago
- ☆11Nov 16, 2021Updated 4 years ago
- [CCS-LAMPS'24] LLM IP Protection Against Model Merging☆16Oct 14, 2024Updated last year
- ☆31Oct 7, 2021Updated 4 years ago
- A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).☆45Nov 1, 2023Updated 2 years ago
- PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models☆48Mar 30, 2026Updated last week
- Code for "Graph Contrastive Learning with Cohesive Subgraph Awareness"☆20Feb 29, 2024Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆14Apr 11, 2021Updated 5 years ago
- Open-source code for ''Individual Fairness for Graph Neural Networks: A Ranking based Approach''.☆11Jul 8, 2022Updated 3 years ago
- Implementation of "Bag of Tricks for Node Classification with Graph Neural Networks" based on DGL☆35Jan 26, 2025Updated last year
- Deep Canonical Correlation Analysis implemented with tensorflow☆14Mar 16, 2018Updated 8 years ago
- Certified Removal from Machine Learning Models☆69Aug 23, 2021Updated 4 years ago
- ☆11Mar 8, 2024Updated 2 years ago
- Source code of NeurIPS 2021 paper “Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media”☆13Mar 15, 2022Updated 4 years ago