Hypergraph Spectra

Hypergraph Spectra is a mathematical framework that generalizes spectral graph theory by characterizing the eigenvalues and eigenvectors of matrices or tensors associated with hypergraphs to capture higher-order structural properties beyond pairwise interactions.

54

Publications

1.9K

Citations

94

Authors

64

Institutions

Publications per year

2017–2026

24

Authors

94

  1. AL
    Anand Louis

    Georgia Institute of Technology, United States

    3 publications · 177 citations

    3

    h-index

  2. ZD
    Zhi Ding

    University of California, Davis, United States

    3 publications · 109 citations

    3

    h-index

  3. SZ
    Songyang Zhang

    University of California, Davis, United States

    3 publications · 109 citations

    3

    h-index

  4. SC
    Shuguang Cui

    Chinese University of Hong Kong, Shenzhen, China

    3 publications · 109 citations

    3

    h-index

  5. HL
    Hongying Lin

    South China Normal University, China

    2 publications · 37 citations

    2

    h-index

1–5 of 94

Venues

  1. Linear Algebra and its Applications

    13 publications · 318 citations

    12

    h-index

  2. Discrete Mathematics

    5 publications · 200 citations

    5

    h-index

  3. The Electronic Journal of Combinatorics

    3 publications · 128 citations

    3

    h-index

  4. Linear and Multilinear Algebra

    3 publications · 124 citations

    3

    h-index

  5. Journal of Combinatorial Theory Series A

    2 publications · 34 citations

    2

    h-index

1–5