AI-based software resource for fast graph processing and embedding

[Giorgio Valentini]

Hi everybody,

GRAPE (Graph Representation leArning, Prediction and Evaluation), an AI-based software resource written in Python and Rust for processing and analyzing large graphs has been published in Nature Computational Science:
https://doi.org/10.1038/s43588-023-00465-8
and is available on PyPI and github: https://github.com/AnacletoLAB/grape

GRAPE enables fast large-scale graph processing and embedding, and is a crucial resource for the study of real-world problems that can be represented as graphs. I think that GRAPE can be an important computational resource for graph representation learning, and can be useful for researchers in several disciplines for studying complex systems represented as graphs and in particular for computer scientists to easily develop and compare computational methods for the analysis of large graphs.

All the best,

Giorgio Valentini

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Giorgio Valentini
Dip. Informatica - Universita' degli Studi di Milano
Phone: +39 (02) 503.16225
e-mail: vale...@di.unimi.it
http://homes.di.unimi.it/valentini
Anacleto Lab - Comp. Biology and Bioinformatics
http://anacletolab.di.unimi.it
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