54 citations · 63 across the 3 of their papers we have counts for
4 papers
KGATE : a Knowledge Graph Embedding Training Environment
Benjamin Loire, Galadriel Brière, Célia Brahimi +2
Knowledge graph embedding (KGE) models encode the entities and relations of a knowledge graph into a low-dimensional latent space, enabling tasks such as classification or link pre…
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…
Universal Multilayer Network Exploration by Random Walk with Restart
Anthony Baptista, Aitor Gonzalez, Anaïs Baudot
The amount and variety of data is increasing drastically for several years. These data are often represented as networks, which are then explored with approaches arising from netwo…
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…