wanyu-lin / INFOCOM2020-GuardianLinks
Official code for the INFOCOM 2020 paper "Guardian: Evaluating Trust in Online Social Networks with Graph Convolutional Networks."
☆12Updated 3 years ago
Alternatives and similar repositories for INFOCOM2020-Guardian
Users that are interested in INFOCOM2020-Guardian are comparing it to the libraries listed below
Sorting:
- Source code of paper "TrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support"☆22Updated 8 months ago
- Locally Private Graph Neural Networks (ACM CCS 2021)☆47Updated last year
- Code for IEEE ICDM 23 PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection☆12Updated last year
- [IEEE S&P 22] "LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis" by Fan Wu, Yunhui Long, Ce Zhang, …☆23Updated 3 years ago
- This repository is for reviewers to check the code of KDD2021 Dr.Droid☆18Updated 4 years ago
- ☆19Updated last year
- Rule Extraction from Unsupervised Anomaly Detection in Security☆19Updated last month
- The code of Addgraph frame.☆23Updated 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
- NEGSC☆38Updated last year
- ☆11Updated 3 years ago
- Official repository for the paper "Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Ne…☆12Updated 10 months ago
- The pytorch implementation of E-GraphSAGE and E-ResGAT, two solutions for intrusion detection.☆70Updated 3 years ago
- ☆14Updated 4 years ago
- A PyTorch implementation of of E-GraphSAGE.☆89Updated 2 years ago
- Official Code for FedGCN [NeurIPS 2023]☆68Updated 4 months ago
- code repository for the the paper "Encrypted Network Traffic Classification with Higher Order Graph Neural Network"☆33Updated 10 months ago
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆48Updated last year
- A PyTorch implementation of of Anomal-E.☆35Updated 2 years ago
- Related code and datasets on NetBench: A Large-Scale and Comprehensive Network Traffic Benchmark Dataset for Foundation Models☆27Updated last year
- A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)☆39Updated 3 years ago
- FedGraph (Federated Graph) is a library built upon PyTorch to easily train Graph Neural Networks under federated setting.☆50Updated 2 weeks ago
- Official repository for AAAI'23 paper: Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinf…☆25Updated 2 years ago
- This repository is the implementation of Federated Graph Classification over Non-IID Graphs.☆42Updated last year
- Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning☆56Updated last year
- ☆15Updated last year
- SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.☆47Updated 2 years ago
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆74Updated 3 years ago
- Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆76Updated 3 years ago
- ☆13Updated 2 years ago