Graph Signal Diffusion
Graph Signal Diffusion is a computational framework that models the propagation of signals over a graph structure by leveraging localized diffusion operators to capture the intrinsic topological dynamics of the network.
11
Publications
406
Citations
25
Authors
21
Institutions
Publications per year
2017–2026
9
Parents
11
Distributed Diffusion Adaptation Over Graph Signals
Roula Nassif, Cédric Richard, Jie Chen et al. · 2018 · 45 citations · Full text
Diffusion filtering of graph signals and its use in recommendation systems
Jeremy Ma, Weiyu Huang, Santiago Segarra et al. · 2016 · 34 citations
1–5 of 11
25
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21
University of Pennsylvania
Philadelphia, United States
4 h-index
9 publications
230 citations

Université Côte d'Azur
Nice, France
2 h-index
2 publications
62 citations

Université de Bretagne Occidentale
Brest, France
2 h-index
5 publications
197 citations
Laboratoire des Sciences et Techniques de l’Information de la Communication et de la Connaissance
Brest, France
2 h-index
5 publications
197 citations
Universidad Rey Juan Carlos
Madrid, Spain
2 h-index
5 publications
86 citations
Lagrange Laboratory
Nice, France
2 h-index
4 publications
124 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
2 h-index
3 publications
107 citations
Observatoire de la Côte d’Azur
Nice, France
2 h-index
3 publications
79 citations
1–8 of 21
3 publications · 56 citations
3
h-index
2 publications · 47 citations
2
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1 publications · 41 citations
1
h-index
1 publications · 17 citations
1
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Repository · 1 publications · 149 citations
1
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