The code and data for the paper "Link Prediction in Multiplex Networks: An Evidence Theory Method ". The code is implemented in Python 3.6.
if you find the code useful, please cite our paper.
@article{Luo2022,
author = {Luo, Hongsheng and Li, Longjie and Hu, Dong and Chen, Xiaoyun},
doi = {10.1016/j.knosys.2022.109932},
journal = {Knowledge-Based Systems},
pages = {109932},
publisher = {Elsevier B.V.},
title = {{Link Prediction in Multiplex Networks: An Evidence Theory Method}},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0950705122010255},
volume = {257},
year = {2022}
}The code of LPRAIS can be available from https://github.com/ljlilzu/LPRAIS.
The code of the compared supervised method can be available from https://github.com/ljlilzu/MultiSup.
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.