binghuiwang / GraphFL

Related projects ⓘ

Alternatives and complementary repositories for GraphFL

• zkhku / fedsage
  Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)
  ☆71Updated 2 years ago
• xujing1994 / bkd_fedgnn
  Implementation of paper "More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks"
  ☆19Updated last year
• yuetan031 / FedStar
  [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
  ☆58Updated 2 years ago
• Oxfordblue7 / GCFL
  This repository is the implementation of Federated Graph Classification over Non-IID Graphs.
  ☆39Updated last year
• usail-hkust / BkdFedGCN
  ☆30Updated last year
• cynricfu / FedHGN
  FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
  ☆16Updated last year
• yh-yao / FedGCN
  Official Code for FedGCN [NeurIPS 2023]
  ☆59Updated 6 months ago
• FedEgo / FedEgo
  ☆15Updated 3 months ago
• MinChen00 / Graph-Unlearning
  Official implementation of "Graph Unlearning" (ACM CCS 2022)
  ☆40Updated last year
• dawenzi098 / SFL-Structural-Federated-Learning
  IJCAI-Personalized Federated Learning with Graph
  ☆50Updated last year
• zhaohan-xi / GraphBackdoor
  ☆52Updated 2 years ago
• 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
• JinheonBaek / FED-PUB
  Official Code Repository for the paper - Personalized Subgraph Federated Learning (ICML 2023)
  ☆44Updated last year
• ventr1c / UGBA
  An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)
  ☆52Updated 11 months ago
• FedML-AI / SpreadGNN
  SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.
  ☆44Updated 2 years ago
• zaixizhang / graphbackdoor
  A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)
  ☆34Updated 3 years ago
• sisaman / GAP
  GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)
  ☆44Updated last year
• Suyi32 / Learning-to-Detect-Malicious-Clients-for-Robust-FL
  ☆17Updated 3 years ago
• sail-research / fed-unlearn
  An Empirical Study of Federated Unlearning: Efficiency and Effectiveness (Accepted Conference Track Papers at ACML 2023)
  ☆15Updated last year
• wuch15 / FedPerGNN
  code of FedGNN
  ☆84Updated 2 years ago
• xinleihe / link_stealing_attack
  ☆14Updated 3 years ago
• sisaman / LPGNN
  Locally Private Graph Neural Networks (ACM CCS 2021)
  ☆45Updated last year
• rdz98 / FedRecAttack
  Model Poisoning Attack to Federated Recommendation
  ☆31Updated 2 years ago
• thupchnsky / mufc
  A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)
  ☆18Updated last year
• cugzj / KT-pFL
  ☆31Updated 2 years ago
• iyempissy / rebMIGraph
  ☆14Updated 3 years ago
• YangLiangwei / FeSoG
  Code for Federated Social Recommendation with Graph Neural Network
  ☆21Updated 2 years ago
• nju-websoft / FedLU
  Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning, WWW 2023
  ☆19Updated last year
• ycruan / FedSoft
  Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"
  ☆14Updated 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, …
  ☆21Updated 3 years ago