chenyang03 / ReadingLinks
Yang Chen's Reading List
☆27Updated 6 months ago
Alternatives and similar repositories for Reading
Users that are interested in Reading are comparing it to the libraries listed below
Sorting:
- Drawing diagrams for academic papers with Matlab.☆25Updated 5 years ago
- walk2friends: Inferring Social Links from Mobility Profiles☆22Updated 7 years ago
- Implementation of Adversarial Privacy Graph Embedding in TensorFlow☆21Updated 5 years ago
- Locally Private Graph Neural Networks (ACM CCS 2021)☆50Updated 7 months ago
- [IEEE S&P 22] "LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis" by Fan Wu, Yunhui Long, Ce Zhang, …☆23Updated 4 years ago
- Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.☆347Updated last year
- FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR…☆183Updated 2 years ago
- This repository is the implementation of Federated Graph Classification over Non-IID Graphs.☆45Updated 2 years ago
- FedGraph (Federated Graph) is a library built upon PyTorch to easily train Graph Neural Networks under federated setting.☆70Updated 3 months ago
- Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆83Updated 4 years ago
- Codes and data for KDD 2022 Research Track paper "CLARE: A Semi-supervised Community Detection Algorithm"☆38Updated 2 years ago
- My future research☆415Updated 2 years ago
- ☆14Updated 4 years ago
- A project for collecting and showing the current research progress of FedRec☆142Updated 2 years ago
- Defending graph neural networks against adversarial attacks (NeurIPS 2020)☆71Updated 2 years ago
- ☆29Updated 2 years ago
- Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".☆221Updated 3 years ago
- This repository aims to provide links to works about privacy attacks and privacy preservation on graph data with Graph Neural Networks (G…☆23Updated 2 years ago
- Implementations of differentially private release mechanisms for graph statistics☆24Updated 3 years ago
- Code for Federated Social Recommendation with Graph Neural Network☆29Updated 3 years ago
- Official implementation of "Graph Unlearning" (ACM CCS 2022)☆54Updated 6 months ago
- SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.☆48Updated 3 years ago
- The code for paper "Cross Platforms Linguals and Models Social Bot Detection via Federated Adversarial Contrastive Knowledge Distillation…☆20Updated 2 years ago
- Federated Fairness-aware Recommendation☆14Updated 3 years ago
- ☆32Updated 3 years ago
- Code for the KDD 2021 paper "Scaling Up Graph Neural Networks Via Graph Coarsening"☆28Updated last year
- Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation☆58Updated last year
- code for paper TDGIA:Effective Injection Attacks on Graph Neural Networks (KDD 2021, research track)☆22Updated 4 years ago
- Official Code for FedGCN [NeurIPS 2023]☆75Updated last year
- This repository contains python scripts related to a research that is intended to run graph convolution neural networks in federated mann…☆17Updated 5 years ago