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Source code for "Distilling Knowledge From Graph Convolutional Networks" with slight modification from author's code

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thivux/distillGCN

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Set up environment

pip install -r requirements.txt

Run model

Run this command to get different student models for PPI dataset & GAT architecture

python main.py --mode={"full", "teacher", "mi", "att", "fit"}

mode:

  • teacher: KD
  • full: training student use full supervision
  • mi: LSP
  • fit: FitNet
  • att: Attention Transfer

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Source code for "Distilling Knowledge From Graph Convolutional Networks" with slight modification from author's code

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