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Code for the paper "Supervised link prediction in multiplex networks. Knowledge-Based Systems, 203, 2020".

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Supervised link prediction in multiplex networks

The code and data for the paper "Supervised link prediction in multiplex networks. Knowledge-Based Systems, 203, 2020". The code is implemented in Python 3.7 with the graph package of NetworkX and the machine learning package of scikit-learn.

If you find the code useful, please cite our paper.

@article{Shan2020,
author = {Shan, Na and Li, Longjie and Zhang, Yakun and Bai, Shenshen and Chen, Xiaoyun},
doi = {10.1016/j.knosys.2020.106168},
journal = {Knowledge-Based Systems},
month = {sep},
pages = {106168},
publisher = {Elsevier B.V.},
title = {{Supervised link prediction in multiplex networks}},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0950705120304068},
volume = {203},
year = {2020}
}

The TF network is originally available from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5367313/, and all other networks are originally downloaded from https://manliodedomenico.com/data.php.

If you use these networks, please cite the original references.

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Code for the paper "Supervised link prediction in multiplex networks. Knowledge-Based Systems, 203, 2020".

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