FS_GPlib - Graph Propagation Library

FS_GPlib is a flexible and scalable Python library designed for simulating a wide range of graph-based propagation processes on complex networks. It supports classical epidemic models, opinion dynamics, and simulations on dynamic networks with Message Passing based dual-acceleration framework and distributed computing.

Date

2026-03-27

Python Versions

>=3.10

GitHub

Source

PyPI

Distribution

If you use FS_GPlib as support to your research consider citing:

@inproceedings{guo2026fs_gplib,
   title={FS\_GPlib: Breaking the Web-Scale Barrier—A Unified Acceleration Framework for Graph Propagation Models},
   author={Guo, Chang and Zhang, Juyuan and Su, Chang and Fan, Tianlong and L{\"u}, Linyuan},
   booktitle={Proceedings of the ACM Web Conference 2026},
   pages={4623--4634},
   year={2026}
}