Official implementation of "Graph Unlearning" (ACM CCS 2022)
☆55Jul 24, 2025Updated last year
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
- General Strategy for Unlearning in Graph Neural Networks☆51Feb 20, 2023Updated 3 years ago
- Test for Graph Unlearning Benchmark☆21Jul 12, 2025Updated last year
- Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)☆20Feb 17, 2023Updated 3 years ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆52May 20, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆10Mar 23, 2025Updated last year
- ☆10Aug 13, 2021Updated 5 years ago
- Locally Private Graph Neural Networks (ACM CCS 2021)☆50Jul 17, 2026Updated 2 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 5 years ago
- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆28May 27, 2025Updated last year
- Eluding Secure Aggregation in Federated Learning via Model Inconsistency☆13Mar 10, 2023Updated 3 years ago
- ☆30May 8, 2023Updated 3 years ago
- Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".☆28Jul 8, 2022Updated 4 years ago
- Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"☆38Oct 6, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code for ICLR'2021 paper: On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections☆12Jul 17, 2021Updated 5 years ago
- [NeurIPS'24] What makes unlearning hard and what to do about it☆24May 24, 2025Updated last year
- ☆203Sep 22, 2023Updated 2 years ago
- ☆13Mar 27, 2020Updated 6 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☆11May 30, 2019Updated 7 years ago
- ☆10May 14, 2023Updated 3 years ago
- Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning, WWW 2023☆29Feb 3, 2023Updated 3 years ago
- ☆12Sep 8, 2023Updated 3 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- ☆15May 1, 2020Updated 6 years ago
- Code related to the paper "Machine Unlearning of Features and Labels"☆70Feb 13, 2024Updated 2 years ago
- "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.☆31Oct 18, 2023Updated 2 years ago
- ☆12Nov 16, 2021Updated 4 years ago
- Code for "Graph Contrastive Learning with Cohesive Subgraph Awareness"☆20Feb 29, 2024Updated 2 years ago
- A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).☆46Nov 1, 2023Updated 2 years ago
- [CCS-LAMPS'24] LLM IP Protection Against Model Merging☆16Oct 14, 2024Updated last year
- ☆14Apr 11, 2021Updated 5 years ago
- ☆10Jan 7, 2026Updated 8 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Deep Canonical Correlation Analysis implemented with tensorflow☆14Mar 16, 2018Updated 8 years ago
- Official Code of Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers (AAAI 2024)☆20Oct 27, 2024Updated last year
- ☆27Aug 18, 2023Updated 3 years ago
- ☆31Oct 7, 2021Updated 4 years ago
- ☆31Feb 10, 2022Updated 4 years ago
- Open-source code for ''Individual Fairness for Graph Neural Networks: A Ranking based Approach''.☆11Jul 8, 2022Updated 4 years ago
- ☆27Jul 22, 2022Updated 4 years ago