EmanueleLM / CNT-DNNs

Complex Network Theory applied to Deep Neural Networks

CNT-DNNs

DISCLAIMER: This readme will be updated soon with clear instructions for each script/python file.

Characterizing Learning Dynamics of Deep Neural Networks via Complex Networks

This is the code to replicate the experiments (and if you want, to use it for your own experiments) of the paper Characterizing Learning Dynamics of Deep Neural Networks via Complex Networks, which has been accepted as full paper at 33th IEEE International Conference on Tools with Artificial Intelligence (ICTAI). If you want to read the paper, follow this link: https://arxiv.org/abs/2110.02628.

If you are interested in citing the work, please use the following bib:

@misc{malfa2021characterizing,
    title={Characterizing Learning Dynamics of Deep Neural Networks via Complex Networks},
    author={Emanuele La Malfa and Gabriele La Malfa and Giuseppe Nicosia and Vito Latora},
    year={2021},
    eprint={2110.02628},
    archivePrefix={arXiv},
    primaryClass={cs.AI}
}