Spectral Graph Theory
Spectral Graph Theory is a branch of graph theory that studies the structural properties of graphs through the eigenvalues and eigenvectors of matrices associated with the graph, such as the adjacency or Laplacian matrix.
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886
Institutions
Publications per year
2017–2026
344
Parents
1.2K
Deep Learning On Graphs (Graphsip Summer School)
Michaël Defferrard · Figshare · 2016 · 5.1K citations
David I Shuman, Sunil K. Narang, Pascal Frossard et al. · IEEE Signal Processing Magazine · 2013 · 4.4K citations · Full text
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East China University of Science and Technology
Shanghai, China
16 h-index
29 publications
909 citations
Georgia Institute of Technology
Atlanta, United States
15 h-index
20 publications
1.1K citations

Centre National de la Recherche Scientifique
Paris, France
15 h-index
26 publications
1.3K citations

University of Kragujevac
Kragujevac, Serbia
14 h-index
20 publications
662 citations
Carnegie Mellon University
Pittsburgh, United States
14 h-index
27 publications
11.9K citations
University of California, Berkeley
Berkeley, United States
14 h-index
28 publications
3.4K citations

Tilburg University
Tilburg, The Netherlands
14 h-index
23 publications
2.5K citations
Central China Normal University
Wuhan, China
13 h-index
31 publications
687 citations
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178 publications · 7K citations
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49 publications · 1.9K citations
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Repository · 44 publications · 3K citations
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39 publications · 1.5K citations
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