output
20182025
most citedMultiVERSE: a multiplex and multiplex-heterogeneous network embedding approach

54 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

4 papers

cs.LG2025

MODIS: Multi-Omics Data Integration for Small and unpaired datasets

Daniel Lepe-Soltero, Thierry Artières, Anaïs Baudot +1

An important objective in computational biology is the efficient integration of multi-omics data. The task of integration comes with challenges: multi-omics data are most often unp…

cs.SI2023★ 9 cited

Zoo Guide to Network Embedding

Anthony Baptista, Rubén J. Sánchez-García, Anaïs Baudot +1

Networks have provided extremely successful models of data and complex systems. Yet, as combinatorial objects, networks do not have in general intrinsic coordinates and do not typi…

cs.LG2020★ 54 cited

MultiVERSE: a multiplex and multiplex-heterogeneous network embedding approach

Léo Pio-Lopez, Alberto Valdeolivas, Laurent Tichit +2

Network embedding approaches are gaining momentum to analyse a large variety of networks. Indeed, these approaches have demonstrated their efficiency for tasks such as community de…

q-bio.CB2018

The importance and impact of discoveries about neural crest fates

Heather Etchevers, Elisabeth Dupin, Nicole Le Douarin

We review here some of the historical highlights in exploratory studies of the vertebrate embryonic structure known as the neural crest. The study of the molecular properties of th…