galatolofederico / mesh-neural-networks

Python implementation of the Mesh Neural Networks

mesh-neural-networks

This is the repository for the paper Formal derivation of Mesh Neural Networks with their Forward-Only gradient Propagation

All the above examples uses 5 hidden neurons

Spirals solved with 15 neurons

As preliminary experiments we have tested our model against some toy datasets:

• 2D Notebook
• Iris Notebook

We provide these additional notebooks:

• Numerical Pytorch Test

We also provide the experiments for the chapter 4.2 "Real-world problems"

• Real World Problems

The code is intentionally left unoptimized in order to be coherent with the mathematical framework presented on the paper.

An optimized version is currently under development.

For any further question you can find me at [e-mail] or on Telegram at @galatolo

Citing

If you want to cite use you can use this BibTeX

@article{galatolo_mnn_,
  title={Formal derivation of Mesh Neural Networks with their Forward-Only gradient Propagation},
  author={Galatolo, Federico A and Cimino, Mario GCA and Vaglini, Gigliola},
  journal={Neural Processing Letters},
  pages={1--16},
  year={2021},
  publisher={Springer}
}