FedGraph / fedgraph

Related projects ⓘ

Alternatives and complementary repositories for fedgraph

• MinChen00 / Graph-Unlearning
  Official implementation of "Graph Unlearning" (ACM CCS 2022)
  ☆40Updated last year
• 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…
  ☆22Updated last year
• xkLi-Allen / OpenFGL
  ☆16Updated last week
• yh-yao / FedGCN
  Official Code for FedGCN [NeurIPS 2023]
  ☆59Updated 6 months ago
• zkhku / fedsage
  Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)
  ☆71Updated 2 years ago
• thupchnsky / sgc_unlearn
  Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)
  ☆19Updated last year
• Oxfordblue7 / GCFL
  This repository is the implementation of Federated Graph Classification over Non-IID Graphs.
  ☆39Updated last year
• sisaman / GAP
  GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)
  ☆44Updated last year
• yuetan031 / FedStar
  [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
  ☆58Updated last year
• JinheonBaek / FED-PUB
  Official Code Repository for the paper - Personalized Subgraph Federated Learning (ICML 2023)
  ☆44Updated last year
• EdisonLeeeee / GreatX
  A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
  ☆83Updated last month
• zaixizhang / graphbackdoor
  A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)
  ☆34Updated 3 years ago
• wujcan / GIF-torch
  ☆21Updated 2 years ago
• cynricfu / FedHGN
  FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
  ☆16Updated last year
• huweibo / Awesome-Federated-Learning-on-Graph-and-GNN-papers
  Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
  ☆323Updated 9 months ago
• FedML-AI / FedGraphNN
  FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR…
  ☆180Updated 11 months ago
• EdisonLeeeee / Awesome-Fair-Graph-Learning
  Paper List for Fair Graph Learning (FairGL).
  ☆132Updated 2 months ago
• ventr1c / UGBA
  An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)
  ☆52Updated 11 months ago
• yushundong / PyGDebias
  Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms
  ☆61Updated 6 months ago
• usail-hkust / BkdFedGCN
  ☆29Updated last year
• THUDM / grb
  Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph M…
  ☆91Updated last year
• ChandlerBang / GCond
  [ICLR'22] [KDD'22] [IJCAI'24] Implementation of "Graph Condensation for Graph Neural Networks"
  ☆125Updated 2 weeks ago
• wykk00 / GraphControl
  Official implementation of paper "GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfe…
  ☆17Updated 9 months ago
• yushundong / EDITS
  Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".
  ☆26Updated 2 years ago
• zaixizhang / GraphMI
  Official Pytorch implementation of IJCAI'21 paper "GraphMI: Extracting Private Graph Data from Graph Neural Networks"
  ☆13Updated 3 years ago
• Leo-Q-316 / ImGAGN
  Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks
  ☆25Updated 3 years ago
• wuch15 / FedPerGNN
  code of FedGNN
  ☆84Updated 2 years ago
• Emory-Melody / GraphSlim
  A Python library for graph reduction including condensation, coarsening, and sparsification.
  ☆15Updated 2 weeks ago
• EnyanDai / RSGNN
  An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))
  ☆32Updated 2 years ago