Algorithm library for federated graph learning.

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  • License: MIT License (Copyright © 2024 <copyright xkli ylzhu et al.> Permission is hereby granted, free of charge, to any...)
  • Author: Xunkai Li
  • Requires: Python >=3.6
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Open Federated Graph Learning (OpenFGL)

OpenFGL is a comprehensive, user-friendly algorithm library, complemented by an integrated evaluation platform, designed specifically for researchers in the field of federated graph learning (FGL).

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Highlights

  • 2 FGL Scenarios: Graph-FL and Subgraph-FL
  • 10+ FGL Algorithms
  • 34 FGL Datasets
  • 12 GNN Models
  • 5 Downstream Tasks
  • Comprehensive FGL Data Property Analysis

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python main.py --dataset Cora --model gcn --metrics accuracy

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Please cite our paper (and the respective papers of the methods used) if you use this code in your own work:

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  • License: MIT License (Copyright © 2024 <copyright xkli ylzhu et al.> Permission is hereby granted, free of charge, to any...)
  • Author: Xunkai Li
  • Requires: Python >=3.6
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