We provide our implementation and demonstration of the "Structural Entropy-based Layout (SEL)" method.
conda install -c conda-forge cupy cudatoolkit=11.2 jupyter notebook
pip install scikit-learn pyfftw numba_kdtree pytorch torchvision pandas dask[dataframe]
pip install numpy==1.20.3 numba==0.54.1cd source_code
python SPE_layout.pyThe source code is licensed under LGPL v2.1. License is available here.
If you have any problem, please submit an issue or email us.
@inproceedings{structural25xue,
title = {Structural Entropy Based Visualization of Social Networks},
author = {Xue, Mingliang and Chen, Lu and Wei, Chunyu and Hou, Shuowei and Cui, Lizhen and Deussen, Oliver and Wang, Yunhai},
year = {2025},
pages = {1--10},
booktitle = {The 33rd Pacific Conference on Computer Graphics and Applications (PG)}
}