Welcome to WL-align’s documentation!¶
wlalign is a pure Python package that implements the graph-alignment routine based on the generalization of the Weisfeiler-Lehman algorithm proposed in this paper.
The software provides the
wlalign Python module, which includes all the
functions and tools that are necessary for computing network alignments and
In particular, specific functions are devoted to:
Computing the graph Jaccard index of similarity between two weighted graphs.
Solving the graph alignment problem with WL-align.
The package is available at Pypi and can be easily installed from the command line.
pip install wlalign
Talon is a free software released under MIT license.
The preferred way to get assistance in running code that uses WL-align is through the issue system of the Gitlab repository where the source code is available. Developers and maintainers frequently check newly opened issues and will be happy to help you.
The development happens in the
devel branch of the
Gitlab repository, while the
master is kept for the stable releases only.
We will consider only merge requests towards the
How to cite¶
If you publish works using WL-align, please cite us as indicated here:
Matteo Frigo, Emilio Cruciani, David Coudert, Rachid Deriche, Emanuele Natale, Samuel Deslauriers-Gauthier; Network alignment and similarity reveal atlas-based topological differences in structural connectomes. Network Neuroscience 2021; doi: https://doi.org/10.1162/netn_a_00199
In section How to cite WL-align you will find the Bibtex entry.
The development of WL-align was funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (ERC Advanced Grant agreement No 694665: CoBCoM - Computational Brain Connectivity Mapping ).