93 citations · 276 across the 25 of their papers we have counts for
4 papers · 1 filter
Accelerated Spectral Clustering Using Graph Filtering Of Random Signals
Nicolas Tremblay, Gilles Puy, Pierre Borgnat +2
We build upon recent advances in graph signal processing to propose a faster spectral clustering algorithm. Indeed, classical spectral clustering is based on the computation of the…
Subgraph-based filterbanks for graph signals
Nicolas Tremblay, Pierre Borgnat
We design a critically-sampled compact-support biorthogonal transform for graph signals, via graph filterbanks. Instead of partitioning the nodes in two sets so as to remove one ev…
Duality between Temporal Networks and Signals: Extraction of the Temporal Network Structures
Ronan Hamon, Pierre Borgnat, Patrick Flandrin +1
We develop a framework to track the structure of temporal networks with a signal processing approach. The method is based on the duality between networks and signals using a multid…
From graphs to signals and back: Identification of network structures using spectral analysis
Ronan Hamon, Pierre Borgnat, Patrick Flandrin +1
Many systems comprising entities in interactions can be represented as graphs, whose structure gives significant insights about how these systems work. Network theory has undergone…