Software repository
Paper review
Download paper
Software archive
Review
Editor: @osorensen (all papers)
Reviewers: @EduPH (all reviews), @leotrs (all reviews), @ismailguzel (all reviews)
Authors
Matteo Caorsi (0000-0001-9416-9090), Raphael Reinauer, Nicolas Berkouk
Citation
Caorsi et al., (2022). giotto-deep: A Python Package for Topological Deep Learning. Journal of Open Source Software, 7(79), 4846, https://doi.org/10.21105/joss.04846
@article{Caorsi2022,
doi = {10.21105/joss.04846},
url = {https://doi.org/10.21105/joss.04846},
year = {2022},
publisher = {The Open Journal},
volume = {7},
number = {79},
pages = {4846},
author = {Caorsi, Matteo and Reinauer, Raphael and Berkouk, Nicolas},
title = {giotto-deep: A Python Package for Topological Deep Learning},
journal = {Journal of Open Source Software}
}
Tags
Python topological data analysis deep learning persformer
Altmetrics
Markdown badge
License
Authors of JOSS papers retain copyright.
This work is licensed under a Creative Commons Attribution 4.0 International License.
