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DPGNN: Differential Privacy Preservation in Graph Neural Networks

This is the repository implement the DPGNN

Reqirement:

  • Numpy
  • Pandas
  • tensorflow > 2.4.1 (for face detection)
  • tensorflow 1.14 (for SHAP extraction)
  • Pytorch
  • Dgl
  • Scikit-learn

Instruction:

  • BRand algorithm is implemented in the feature_level.py.
  • ERand is implemented in folder ERand. The instruction for ERand is attached that folder.
  • GCN training is implemented in the main folder