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The code for "SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization"

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SE-GSL

code for "SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization"

Overview

  • model: implement of different GNN model
  • utils/max1SE.py: One-dimensional structural entropy k-selector.
  • utils/coding_tree.py: Encoding tree defination and optimization.
  • utils/reshape.py: node-pair sampling.
  • utils/utils_data.py, utils/utils.py: data preprocessing code from Geom-GCN

Requirements

The implementation of PASTEL is tested under Python 3.9.12, with the following packages installed:

  • dgl-cu116==0.9.0
  • pytorch==1.12.0
  • numpy==1.21.5
  • networkx==2.8.5
  • scipy==1.8.1

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The code for "SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization"

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