Alternatives and similar repositories for FedACK

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

• JinheonBaek / FED-PUB
  Official Code Repository for the paper - Personalized Subgraph Federated Learning (ICML 2023)
  ☆50Updated 2 years ago
• zkhku / fedsage
  Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)
  ☆83Updated 4 years ago
• yuetan031 / FedStar
  [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
  ☆69Updated 3 years ago
• Oxfordblue7 / GCFL
  This repository is the implementation of Federated Graph Classification over Non-IID Graphs.
  ☆45Updated 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…
  ☆23Updated 2 years ago
• wuch15 / FedPerGNN
  code of FedGNN
  ☆93Updated 3 years ago
• FedML-AI / SpreadGNN
  SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.
  ☆47Updated 3 years ago
• nju-websoft / FedLU
  Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning, WWW 2023
  ☆27Updated 2 years ago
• cynricfu / FedHGN
  FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
  ☆22Updated 2 years ago
• yh-yao / FedGCN
  Official Code for FedGCN [NeurIPS 2023]
  ☆72Updated 10 months ago
• wuyucheng2002 / CTAug
  Code for "Graph Contrastive Learning with Cohesive Subgraph Awareness"
  ☆18Updated last year
• sisaman / GAP
  GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)
  ☆49Updated 2 years ago
• usail-hkust / BkdFedGCN
  ☆33Updated 2 years ago
• thupchnsky / sgc_unlearn
  Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)
  ☆20Updated 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
• taokz / FedR
  Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation
  ☆24Updated 2 years ago
• ujeong1 / IEEEBigdata22_HGFND
  ☆36Updated 2 years ago
• FedML-AI / FedGraphNN
  FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR…
  ☆184Updated last year
• wujcan / GIF-torch
  ☆26Updated 3 years ago
• ventr1c / UGBA
  An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)
  ☆61Updated 2 years ago
• YangLiangwei / FeSoG
  Code for Federated Social Recommendation with Graph Neural Network
  ☆29Updated 3 years ago
• AnselCmy / FedE
  Source code for IJCKG 2021 paper "FedE: Embedding Knowledge Graphs in Federated Setting"
  ☆25Updated 3 years ago
• MinChen00 / Graph-Unlearning
  Official implementation of "Graph Unlearning" (ACM CCS 2022)
  ☆53Updated 4 months ago
• zaixizhang / GraphMI
  Official Pytorch implementation of IJCAI'21 paper "GraphMI: Extracting Private Graph Data from Graph Neural Networks"
  ☆13Updated 4 years ago
• xkLi-Allen / OpenFGL
  ☆40Updated last year
• TheaperDeng / GNN-Attack-InfMax
  Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem
  ☆20Updated 4 years ago
• zaixizhang / graphbackdoor
  A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)
  ☆44Updated 4 years ago
• tulerfeng / OTGNet
  [ICLR 2023 Oral] Towards Open Temporal Graph Neural Networks
  ☆34Updated 2 years ago
• KaiyangLi1992 / Privacy-Preserving-Social-Network-Embedding
  Implementation of Adversarial Privacy Graph Embedding in TensorFlow
  ☆21Updated 5 years ago
• BunsenFeng / BotHeterogeneity
  Code listing for the paper 'Heterogeneity-aware Twitter Bot Detection with Relational Graph Transformers'. AAAI 2022.
  ☆40Updated 3 years ago