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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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Python 100.0%