Node Position Encoding

Node Position Encoding is a method in graph representation learning that assigns unique structural identifiers to nodes based on their relative or absolute positions within a graph topology to enhance model awareness of structural relationships.

20

Publications

937

Citations

84

Authors

29

Institutions

Publications per year

2017–2026

18

Authors

84

  1. YL
    Yuan Lin

    Dalian University of Technology, China

    1 publications · 37 citations

    1

    h-index

  2. CZ
    Chunhui Zhang

    Zhejiang University, China

    1 publications · 98 citations

    1

    h-index

  3. HY
    Haoteng Yin

    Peking University, China

    1 publications · 22 citations

    1

    h-index

  4. XB
    Xavier Bresson

    École Polytechnique Fédérale de Lausanne, Switzerland

    1 publications · 25 citations

    1

    h-index

  5. WL
    William L. Hamilton

    University of Cambridge, United Kingdom

    1 publications · 70 citations

    1

    h-index

1–5 of 84

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 197 citations

    6

    h-index

  2. Expert Systems with Applications

    1 publications · 19 citations

    2

    h-index

  3. Neural Networks

    1 publications · 37 citations

    1

    h-index

  4. 2021 IEEE International Conference on Data Mining (ICDM)

    Conference · 1 publications · 16 citations

    1

    h-index

  5. 1

    h-index

1–5