Graph Embedding In Hypercube Networks

Graph Embedding in Hypercube Networks is a computational method that maps the vertices and edges of an arbitrary graph into the vertices and edges of a hypercube network such that the structural relationships of the original graph are preserved under specific embedding constraints.

74

Publications

2.6K

Citations

134

Authors

81

Institutions

Publications per year

2017–2026

5

Authors

134

  1. SH
    Sun‐Yuan Hsieh

    National Cheng Kung University, Taiwan

    4 publications · 148 citations

    4

    h-index

  2. AJ
    Arul Jeya Shalini

    Christian Medical College, India

    3 publications · 41 citations

    3

    h-index

  3. ZM
    Z. Miller

    Miami University, United States

    3 publications · 76 citations

    3

    h-index

  4. SC
    S.A. Choudum

    Indian Institute of Technology Madras, India

    3 publications · 180 citations

    3

    h-index

  5. RH
    Rong‐Xia Hao

    Beijing Jiaotong University, China

    3 publications · 92 citations

    3

    h-index

1–5 of 134

Venues

  1. IEEE Transactions on Computers

    8 publications · 370 citations

    8

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 7 publications · 336 citations

    7

    h-index

  3. Journal of Parallel and Distributed Computing

    5 publications · 145 citations

    5

    h-index

  4. Information Processing Letters

    4 publications · 82 citations

    4

    h-index

  5. Discrete Mathematics

    3 publications · 70 citations

    3

    h-index

1–5