Concepedia

Scalable Graph Mining

Scalable Graph Mining is a specialized field within data mining that focuses on the development of algorithms and computational techniques capable of efficiently extracting meaningful patterns, structures, and insights from large-scale graph data while maintaining performance and accuracy as the size of the graph increases.

194

Publications

14.9K

Citations

498

Authors

215

Institutions

Publications per year

2017–2026

60

Parents

Publications

194

Frequent subgraph discovery

M. Kuramochi, George Karypis · 2002 · 1.1K citations · Full text

, , +15

GraphChi: large-scale graph computation on just a PC

Aapo Kyrola, Guy E. Blelloch, Carlos Guestrin · Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) · 2012 · 904 citations

, , +17

Distributed large-scale natural graph factorization

Amr Ahmed, Nino Shervashidze, Shravan Narayanamurthy et al. · 2013 · 678 citations

, , +12

PTE

2015 · 666 citations · Full text

, , +16

PEGASUS: A Peta-Scale Graph Mining System Implementation and Observations

U Kang, Charalampos E. Tsourakakis, Christos Faloutsos · 2009 · 637 citations

, , +17

1–5 of 194

Authors

498

  1. CF
    Christos Faloutsos

    Carnegie Mellon University, United States

    17 publications · 2.2K citations

    16

    h-index

  2. UK
    U Kang

    Seoul National University, South Korea

    16 publications · 1.4K citations

    14

    h-index

  3. DH
    Duen Horng Chau

    Georgia Institute of Technology, United States

    8 publications · 467 citations

    8

    h-index

  4. DY
    Da Yan

    University of Alabama at Birmingham, United States

    6 publications · 160 citations

    6

    h-index

  5. MJ
    Mohammed J. Zaki

    Rensselaer Polytechnic Institute, United States

    5 publications · 285 citations

    5

    h-index

1–5 of 498

Institutions

215

  1. Carnegie Mellon University

    Pittsburgh, United States

    23 h-index

    57 publications

    8.9K citations

  2. National University of Singapore

    Singapore, Singapore

    7 h-index

    19 publications

    407 citations

  3. IBM (United States)

    Armonk, United States

    6 h-index

    11 publications

    2.2K citations

  4. Chinese University of Hong Kong

    Hong Kong, Hong Kong

    6 h-index

    13 publications

    466 citations

  5. Nanyang Technological University

    Singapore, Singapore

    6 h-index

    7 publications

    143 citations

  6. Georgia Institute of Technology

    Atlanta, United States

    6 h-index

    12 publications

    717 citations

  7. Seoul National University

    Seoul, South Korea

    6 h-index

    11 publications

    496 citations

  8. University of Technology Sydney

    Sydney, Australia

    5 h-index

    8 publications

    426 citations

1–8 of 215

Venues

  1. arXiv (Cornell University)

    Repository · 9 publications · 371 citations

    9

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 7 publications · 457 citations

    7

    h-index

  3. Knowledge and Information Systems

    5 publications · 331 citations

    5

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 5 publications · 378 citations

    5

    h-index

  5. The VLDB Journal

    4 publications · 191 citations

    4

    h-index

1–5