Heat Kernel Diffusion

Heat Kernel Diffusion is a network propagation method that models the spread of information over a graph as a continuous-time diffusion process governed by the heat equation, where the diffusion kernel exponentially weights the Laplacian matrix to capture multi-scale structural relationships.

69

Publications

4.7K

Citations

113

Authors

93

Institutions

Publications per year

2017–2026

12

Authors

113

  1. ZC
    Zhen-Qing Chen

    University of Washington, United States

    7 publications · 697 citations

    7

    h-index

  2. TK
    Takashi Kumagai

    Kyoto University, Japan

    5 publications · 608 citations

    5

    h-index

  3. XZ
    Xicheng Zhang

    Rensselaer Polytechnic Institute, United States

    4 publications · 230 citations

    4

    h-index

  4. DF
    David F. Gleich

    Purdue University West Lafayette, United States

    3 publications · 257 citations

    3

    h-index

  5. DA
    David A. Croydon

    University of Warwick, United Kingdom

    3 publications · 57 citations

    3

    h-index

1–5 of 113

Venues

  1. Journal of Functional Analysis

    6 publications · 180 citations

    6

    h-index

  2. The Annals of Probability

    6 publications · 251 citations

    6

    h-index

  3. Communications in Mathematical Physics

    4 publications · 131 citations

    4

    h-index

  4. Probability Theory and Related Fields

    4 publications · 478 citations

    4

    h-index

  5. arXiv (Cornell University)

    Repository · 3 publications · 66 citations

    3

    h-index

1–5