Alternatives and similar repositories for GraphFL

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

• xujing1994 / bkd_fedgnn
  Implementation of paper "More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks"
  ☆23Updated 2 years ago
• yuetan031 / FedStar
  [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
  ☆63Updated 2 years ago
• zkhku / fedsage
  Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)
  ☆76Updated 3 years ago
• yh-yao / FedGCN
  Official Code for FedGCN [NeurIPS 2023]
  ☆68Updated 4 months ago
• Oxfordblue7 / GCFL
  This repository is the implementation of Federated Graph Classification over Non-IID Graphs.
  ☆42Updated last year
• usail-hkust / BkdFedGCN
  ☆33Updated last year
• webster-781 / FedGNN
  ☆10Updated 3 years ago
• yh-yao / FedRule
  Official Code for FedRule: Federated Rule Recommendation System with Graph Neural Networks
  ☆12Updated last year
• FedEgo / FedEgo
  ☆16Updated 10 months ago
• JinheonBaek / FED-PUB
  Official Code Repository for the paper - Personalized Subgraph Federated Learning (ICML 2023)
  ☆48Updated last year
• sisaman / GAP
  GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)
  ☆48Updated last year
• dawenzi098 / SFL-Structural-Federated-Learning
  IJCAI-Personalized Federated Learning with Graph
  ☆51Updated 2 years ago
• cynricfu / FedHGN
  FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
  ☆21Updated last year
• FedML-AI / SpreadGNN
  SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.
  ☆47Updated 2 years ago
• nju-websoft / FedLU
  Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning, WWW 2023
  ☆25Updated 2 years ago
• 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
• thupchnsky / mufc
  A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)
  ☆21Updated last year
• Suyi32 / Learning-to-Detect-Malicious-Clients-for-Robust-FL
  ☆18Updated 4 years ago
• xinleihe / link_stealing_attack
  ☆14Updated 4 years ago
• sisaman / LPGNN
  Locally Private Graph Neural Networks (ACM CCS 2021)
  ☆47Updated last year
• YangLiangwei / FeSoG
  Code for Federated Social Recommendation with Graph Neural Network
  ☆28Updated 2 years ago
• shaneson0 / attacking_federate_learning
  基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型
  ☆63Updated 5 years ago
• yankang18 / FedBCD
  The implementation of FedBCD algorithm published in the paper "FedBCD: A Communication-Efficient Collaborative Learning Framework for Dis…
  ☆13Updated 11 months ago
• mtics / FedRAP
  The Code for "Federated Recommender with Additive Personalization"
  ☆34Updated last week
• rdz98 / FedRecAttack
  Model Poisoning Attack to Federated Recommendation
  ☆31Updated 3 years ago
• zhaohan-xi / GraphBackdoor
  ☆56Updated 2 years ago
• JerryLife / FedOnce
  Practical Vertical Federated Learning with Unsupervised Representation Learning (TBD 2022)
  ☆20Updated 3 years ago
• baowenxuan / FedCollab
  [ICML 2023] Optimizing the Collaboration Structure in Cross-Silo Federated Learning. Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He.
  ☆18Updated last year
• HaFaZhang / A3FL
  ☆27Updated last year
• zaixizhang / graphbackdoor
  A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)
  ☆39Updated 3 years ago