Notice détaillée
Titre
Loukas, Andreas
Sciper ID
266654
Laboratoires affiliés
LTS2
Publications
A Time-Vertex Signal Processing Framework
Dynamic Balanced Graph Partitioning
Forecasting Time Series With VARMA Recursions on Graphs
Graph Coarsening with Preserved Spectral Properties
How close are the eigenvectors and eigenvalues of the sample and actual covariance matrices?
Partition and Code: learning how to compress graphs
RosettaSurf-A surface-centric computational design approach
Spectrally approximating large graphs with smaller graphs
Towards Stationary Time-Vertex Signal Processing
What graph neural networks cannot learn: depth vs width
Voir toutes les publications (21)
Dynamic Balanced Graph Partitioning
Forecasting Time Series With VARMA Recursions on Graphs
Graph Coarsening with Preserved Spectral Properties
How close are the eigenvectors and eigenvalues of the sample and actual covariance matrices?
Partition and Code: learning how to compress graphs
RosettaSurf-A surface-centric computational design approach
Spectrally approximating large graphs with smaller graphs
Towards Stationary Time-Vertex Signal Processing
What graph neural networks cannot learn: depth vs width
Voir toutes les publications (21)
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