activity
20172019
most citedWhen Slepian Meets Fiedler: Putting a Focus on the Graph Spectrum

25 citations · 40 across the 4 of their papers we have counts for

collaborators

5 papers

q-bio.NC2019

Decoupling of brain function from structure reveals regional behavioral specialization in humans

Maria Giulia Preti, Dimitri Van De Ville

The brain is an assembly of neuronal populations interconnected by structural pathways. Brain activity is expressed on and constrained by this substrate. Therefore, statistical dep…

cs.LG2018★ 1 cited

Guided Graph Spectral Embedding: Application to the C. elegans Connectome

Miljan Petrović, Thomas A. W. Bolton, Maria Giulia Preti +2

Graph spectral analysis can yield meaningful embeddings of graphs by providing insight into distributed features not directly accessible in nodal domain. Recent efforts in graph si…

eess.SP2017★ 10 cited

Augmented Slepians: Bandlimited Functions that Counterbalance Energy in Selected Intervals

Robin Demesmaeker, Maria Giulia Preti, Dimitri Van De Ville

Slepian functions provide a solution to the optimization problem of joint time-frequency localization. Here, this concept is extended by using a generalized optimization criterion…

cs.LG2017★ 4 cited

Guiding Network Analysis using Graph Slepians: An Illustration for the C. Elegans Connectome

Dimitri Van De Ville, Robin Demesmaeker, Maria Giulia Preti

Spectral approaches of network analysis heavily rely upon the eigendecomposition of the graph Laplacian. For instance, in graph signal processing, the Laplacian eigendecomposition…

cs.LG2017★ 25 cited

When Slepian Meets Fiedler: Putting a Focus on the Graph Spectrum

Dimitri Van De Ville, Robin Demesmaeker, Maria Giulia Preti

The study of complex systems benefits from graph models and their analysis. In particular, the eigendecomposition of the graph Laplacian lets emerge properties of global organizati…