GRAPE for fast and scalable graph processing and random-walk-based embedding

Cappelletti, L., Fontana, T., Casiraghi, E., Ravanmehr, V., Callahan, T. J., Cano, C., Joachimiak, M. P., Mungall, C. J., Robinson, P. N., Reese, J., & Valentini, G. (2023). GRAPE for fast and scalable graph processing and random-walk-based embedding. Nature Computational Science, 3(6), 552–568. https://doi.org/10.1038/s43588-023-00465-8
Authors:
Luca Cappelletti
Tommaso Fontana
Elena Casiraghi
Vida Ravanmehr
PheKnowLator Ecosystem Developers
Carlos Cano
Marcin P. Joachimiak
Chris Mungall
Peter N. Robinson
Justin Reese
Giorgio Valentini
Affiliated Authors:
PheKnowLator Ecosystem Developers
Publication Type:
Article
Unique ID:
10.1038/s43588-023-00465-8
PMID:
Publication Date:
Data Source:
OpenAlex

Record Created: