Alternatives and similar repositories for rebMIGraph

Users that are interested in rebMIGraph are comparing it to the libraries listed below

• 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 (G…
  ☆23Updated 2 years ago
• zaixizhang / graphbackdoor
  A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)
  ☆40Updated 3 years ago
• ventr1c / UGBA
  An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)
  ☆59Updated last year
• sisaman / GAP
  GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)
  ☆49Updated 2 years ago
• xinleihe / link_stealing_attack
  ☆14Updated 4 years ago
• zhaohan-xi / GraphBackdoor
  ☆57Updated 2 years ago
• xujing1994 / bkd_fedgnn
  Implementation of paper "More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks"
  ☆24Updated 2 years ago
• sisaman / LPGNN
  Locally Private Graph Neural Networks (ACM CCS 2021)
  ☆49Updated last month
• AI-secure / LinkTeller
  [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
• MinChen00 / Graph-Unlearning
  Official implementation of "Graph Unlearning" (ACM CCS 2022)
  ☆52Updated last month
• Oxfordblue7 / GCFL
  This repository is the implementation of Federated Graph Classification over Non-IID Graphs.
  ☆44Updated 2 years ago
• haonan3 / Secure-Network-Release-with-Link-Privacy
  ☆10Updated 3 years ago
• zkhku / fedsage
  Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)
  ☆81Updated 3 years ago
• usail-hkust / BkdFedGCN
  ☆33Updated 2 years ago
• Zhangzhk0819 / GNN-Embedding-Leaks
  ☆28Updated 2 years ago
• binghuiwang / GraphFL
  ☆11Updated 2 years ago
• scottshufe / Property-Inference-Attacks-Literature
  ☆11Updated 11 months ago
• cynricfu / FedHGN
  FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
  ☆22Updated last year
• KaiyangLi1992 / Privacy-Preserving-Social-Network-Embedding
  Implementation of Adversarial Privacy Graph Embedding in TensorFlow
  ☆20Updated 5 years ago
• anusii / graph-dp
  Implementations of differentially private release mechanisms for graph statistics
  ☆24Updated 3 years ago
• yh-yao / FedGCN
  Official Code for FedGCN [NeurIPS 2023]
  ☆69Updated 7 months ago
• TrustworthyGNN / MIA-GNN
  Membership Inference Attack against Graph Neural Networks
  ☆12Updated 2 years ago
• xinleihe / GNNStealing
  ☆32Updated 3 years ago
• yuetan031 / FedStar
  [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
  ☆66Updated 2 years ago
• huweibo / Awesome-Federated-Learning-on-Graph-and-GNN-papers
  Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
  ☆344Updated last year
• thupchnsky / sgc_unlearn
  Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)
  ☆19Updated 2 years ago
• bwfan-bit / OpenGU
  Test for Graph Unlearning Benchmark
  ☆12Updated last month
• yh-yao / FedRule
  Official Code for FedRule: Federated Rule Recommendation System with Graph Neural Networks
  ☆13Updated last year
• Privacy-Graph / PrivGraph
  Implementation of "PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information"
  ☆13Updated 2 years ago
• FedML-AI / SpreadGNN
  SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.
  ☆47Updated 3 years ago