Connectionists: A software resource for fast graph processing and embedding

[Giorgio Valentini]

Hi everybody,

GRAPE (Graph Representation leArning, Prediction and Evaluation), a 
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: valentini at di.unimi.it
http://homes.di.unimi.it/valentini
Anacleto Lab - Comp. Biology and Bioinformatics
http://anacletolab.di.unimi.it
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