Spectral Graph Features
Spectral Graph Features is a class of graph-derived metrics that captures structural properties of a graph through the eigenvalue decomposition of its Laplacian or adjacency matrix, distinguishing it from other graph feature types by its foundation in spectral graph theory and its ability to encode global connectivity patterns.
47
Publications
2.4K
Citations
163
Authors
74
Institutions
Publications per year
2017–2026
27
Parents
47
Metric learning with spectral graph convolutions on brain connectivity networks
Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante et al. · NeuroImage · 2017 · 379 citations
Affinity aggregation for spectral clustering
Hsin-Chien Huang, Yung‐Yu Chuang, Chu‐Song Chen · 2012 · 214 citations
1–5 of 47
163
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Centre de Coopération Internationale en Recherche Agronomique pour le Développement, France
1 publications · 56 citations
1
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1
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1
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1–5 of 163
74
University of Connecticut
Storrs, United States
2 h-index
9 publications
231 citations
Tsinghua University
Beijing, China
2 h-index
5 publications
75 citations
Xiamen University
Xiamen, China
2 h-index
5 publications
208 citations

University of Central Florida
Orlando, United States
2 h-index
4 publications
64 citations

Imperial College London
London, United Kingdom
2 h-index
11 publications
2.9K citations
CentraleSupélec
Gif-sur-Yvette, France
1 h-index
1 publications
38 citations
Institute of Information Science, Academia Sinica
Taipei, Taiwan
1 h-index
2 publications
428 citations
IIT@MIT
Cambridge, United States
1 h-index
2 publications
26 citations
1–8 of 74
Repository · 5 publications · 116 citations
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Conference · 1 publications · 13 citations
1
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1 publications · 29 citations
1
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1 publications · 60 citations
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1 publications · 24 citations
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