Concepedia

Graph Coarsening

Graph Coarsening is a graph transformation technique that reduces the size of a graph by merging nodes and edges into super-nodes and super-edges while preserving the graph’s structural and semantic properties to facilitate efficient computation in graph-based learning tasks.

56

Publications

4.5K

Citations

160

Authors

88

Institutions

Publications per year

2017–2026

43

Parents

Publications

56

Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs

Martin Simonovsky, Nikos Komodakis · 2017 · 1.3K citations · Full text

, , +16

Multilevel hypergraph partitioning: applications in VLSI domain

George Karypis, Ritesh Aggarwal, Vipin Kumar et al. · IEEE Transactions on Very Large Scale Integration (VLSI) Systems · 1999 · 809 citations

, , +12

View-GCN: View-Based Graph Convolutional Network for 3D Shape Analysis

Xin Wei, Ruixuan Yu, Jian Sun · 2020 · 329 citations

, , +16

Towards Sparse Hierarchical Graph Classifiers

Cătălina Cangea, Petar Veličković, Nikola Jovanović et al. · arXiv (Cornell University) · 2018 · 200 citations · Full text

, , +15

Variational Instance-Adaptive Graph for EEG Emotion Recognition

Tengfei Song, Suyuan Liu, Wenming Zheng et al. · IEEE Transactions on Affective Computing · 2021 · 135 citations

, , +17

1–5 of 56

Authors

160

  1. PL
    Píetro Lió

    University of Cambridge, United Kingdom

    4 publications · 259 citations

    4

    h-index

  2. PL
    Pengfei Liu

    Tsinghua University, China

    2 publications · 32 citations

    2

    h-index

  3. CS
    Christian Schulz

    Karlsruhe Institute of Technology, Germany

    2 publications · 86 citations

    2

    h-index

  4. ZY
    Zihao Ye

    South China Agricultural University, China

    2 publications · 68 citations

    2

    h-index

  5. PS
    Peter Sanders

    Karlsruhe Institute of Technology, Germany

    2 publications · 86 citations

    2

    h-index

1–5 of 160

Institutions

88

  1. Karlsruhe Institute of Technology

    Karlsruhe, Germany

    3 h-index

    7 publications

    229 citations

  2. Cornell University

    Ithaca, United States

    3 h-index

    7 publications

    220 citations

  3. University of Cambridge

    Cambridge, United Kingdom

    3 h-index

    7 publications

    127 citations

  4. Tsinghua University

    Beijing, China

    3 h-index

    7 publications

    140 citations

  5. Nanjing University of Science and Technology

    Nanjing, China

    2 h-index

    2 publications

    229 citations

  6. University of Minnesota

    Minneapolis, United States

    2 h-index

    5 publications

    2.5K citations

  7. Xi'an Jiaotong University

    Xi'an, China

    2 h-index

    6 publications

    1.1K citations

  8. École nationale des ponts et chaussées

    Champs-sur-Marne, France

    2 h-index

    3 publications

    1.4K citations

1–8 of 88

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 351 citations

    10

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 49 citations

    2

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 110 citations

    2

    h-index

  4. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 1 publications · 50 citations

    1

    h-index

  5. Applied Intelligence

    1 publications · 19 citations

    1

    h-index

1–5