PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs

Journal of Open Source Software

This is a Python library to easily experiment with Deep Graph Networks (DGNs). It provides automatic management of data splitting, loading and common experimental settings. It also handles both model selection and risk assessment procedures, by trying many different configurations in parallel (CPU or GPU).

Federico Errica
Federico Errica
Senior Research Scientist

My research interests include distributed robotics, mobile computing and programmable matter.