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Luca Cappelletti

5PUBLICATIONS

67CO-AUTHORS

Neural networksCheminformatics and quantitative structure-activity relationshipsSerious gamesInter-organisational, extra-organisational and global information systemsVenereology

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Publications (5)

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|Apr 05, 2024

Node-degree aware edge sampling mitigates inflated classification performance in biomedical random walk-based graph representation learning.

Luca Cappelletti, Lauren Rekerle, Tommaso Fontana

|Apr 01, 2024

A Sample-Centric and Knowledge-Driven Computational Framework for Natural Products Drug Discovery.

Arnaud Gaudry, Marco Pagni, Florence Mehl

|Jan 04, 2024

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

Luca Cappelletti, Tommaso Fontana, Elena Casiraghi

|Nov 24, 2023

The Monarch Initiative in 2024: an analytic platform integrating phenotypes, genes and diseases across species.

Tim E Putman, Kevin Schaper, Nicolas Matentzoglu

|Jun 06, 2022

Generalizable Long COVID Subtypes: Findings from the NIH N3C and RECOVER Programs.

Justin T Reese, Hannah Blau, Timothy Bergquist

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Frequent Collaborators

4 joint publications

Tommaso Fontana

4 joint publications

Peter N Robinson

3 joint publications

Justin T Reese

2 joint publications

Tiffany J Callahan

2 joint publications

Giorgio Valentini

2 joint publications

Melissa A Haendel

2 joint publications

Christopher J Mungall

2 joint publications

J Harry Caufield

1 joint publications

Tudor I Oprea

1 joint publications

Tim E Putman

Frequent Collaborators

4 joint publications

Tommaso Fontana

4 joint publications

Peter N Robinson

3 joint publications

Justin T Reese

2 joint publications

Tiffany J Callahan

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