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Authors
Federico Errica (0000-0001-5181-2904), Davide Bacciu (0000-0001-5213-2468), Alessio Micheli (0000-0001-5764-5238)
Citation
Errica et al., (2023). PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs. Journal of Open Source Software, 8(90), 5713, https://doi.org/10.21105/joss.05713
@article{Errica2023,
doi = {10.21105/joss.05713},
url = {https://doi.org/10.21105/joss.05713},
year = {2023},
publisher = {The Open Journal},
volume = {8},
number = {90},
pages = {5713},
author = {Federico Errica and Davide Bacciu and Alessio Micheli},
title = {PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs},
journal = {Journal of Open Source Software}
}
Tags
Machine Learning Graph Networks Deep Learning for Graphs
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This work is licensed under a Creative Commons Attribution 4.0 International License.
