NDS-VU / awesome-gnn-privacy
This repository aims to provide links to works about privacy attacks and privacy preservation on graph data with Graph Neural Networks (GNNs).
☆23Updated last year
Alternatives and similar repositories for awesome-gnn-privacy:
Users that are interested in awesome-gnn-privacy are comparing it to the libraries listed below
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆47Updated last year
- ☆16Updated 3 years ago
- Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆74Updated 3 years ago
- Official implementation of "Graph Unlearning" (ACM CCS 2022)☆45Updated 2 years ago
- ☆33Updated last year
- A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)☆37Updated 3 years ago
- Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)☆19Updated 2 years ago
- This repository is the implementation of Federated Graph Classification over Non-IID Graphs.☆41Updated last year
- Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".☆26Updated 2 years ago
- ☆22Updated 2 years ago
- Code for "Graph Contrastive Learning with Cohesive Subgraph Awareness"☆14Updated last year
- ☆24Updated 2 years ago
- ☆19Updated 3 years ago
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆63Updated 10 months ago
- Paper List for Fair Graph Learning (FairGL).☆135Updated 6 months ago
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆33Updated 2 years ago
- An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)☆57Updated last year
- Code for paper https://arxiv.org/abs/2102.13186☆44Updated 3 years ago
- source code of KDD 2022 paper "Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN".☆27Updated 9 months ago
- ☆11Updated 2 years ago
- Official Pytorch implementation of IJCAI'21 paper "GraphMI: Extracting Private Graph Data from Graph Neural Networks"☆13Updated 3 years ago
- ☆10Updated 3 years ago
- Implementation of Adversarial Privacy Graph Embedding in TensorFlow☆19Updated 4 years ago
- The code for paper "Cross Platforms Linguals and Models Social Bot Detection via Federated Adversarial Contrastive Knowledge Distillation…☆17Updated last year
- Defending graph neural networks against adversarial attacks (NeurIPS 2020)☆63Updated last year
- ☆53Updated 2 years ago
- A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Informati…☆62Updated last year
- Official Code for FedGCN [NeurIPS 2023]☆62Updated 2 months ago
- Code for Federated Social Recommendation with Graph Neural Network☆25Updated 2 years ago
- DP-GNN design that ensures both model weights and inference procedure differentially private (NeurIPS 2023)☆12Updated last year