408 citations · 2.6k across the 52 of their papers we have counts for
5 papers · 1 filter
Different approaches to community detection
Martin Rosvall, Jean-Charles Delvenne, Michael T. Schaub +1
A precise definition of what constitutes a community in networks has remained elusive. Consequently, network scientists have compared community detection algorithms on benchmark ne…
Entrograms and coarse graining of dynamics on complex networks
Mauro Faccin, Michael T. Schaub, Jean-Charles Delvenne
Using an information theoretic point of view, we investigate how a dynamics acting on a network can be coarse grained through the use of graph partitions. Specifically, we are inte…
Positive semi-definite embedding for dimensionality reduction and out-of-sample extensions
Michaël Fanuel, Antoine Aspeel, Jean-Charles Delvenne +1
In machine learning or statistics, it is often desirable to reduce the dimensionality of a sample of data points in a high dimensional space . This paper introduces a…
Multiscale mixing patterns in networks
Leto Peel, Jean-Charles Delvenne, Renaud Lambiotte
Assortative mixing in networks is the tendency for nodes with the same attributes, or metadata, to link to each other. It is a property often found in social networks manifesting a…
Dynamics Based Features For Graph Classification
Leonardo Gutierrez Gomez, Benjamin Chiem, Jean-Charles Delvenne
Numerous social, medical, engineering and biological challenges can be framed as graph-based learning tasks. Here, we propose a new feature based approach to network classification…