Concepedia

Transductive Graph Learning

Transductive Graph Learning is a graph-based learning paradigm that, as a member of the broader class of semi-supervised learning methods, specifically performs inference by leveraging both labeled and unlabeled nodes within a fixed graph to predict labels for the originally unlabeled nodes, distinguishing itself through the assumption that the entire node set is known during training and that no generalization beyond this set is required.

113

Publications

32.4K

Citations

363

Authors

169

Institutions

Publications per year

2017–2026

66

Parents

Publications

113

Graph Attention Networks

Guillem Cucurull, Arantxa Casanova, Adriana Romero et al. · arXiv (Cornell University) · 2017 · 8.3K citations · Full text

, , +16

Targeted Branching for the Maximum Independent Set Problem Using Graph Neural Networks

DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2024 · 5.4K citations · Full text

, , +14

Inductive Representation Learning on Large Graphs

William L. Hamilton, Rex Ying, Jure Leskovec · arXiv (Cornell University) · 2017 · 4.5K citations · Full text

, , +15

Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples

Mikhail Belkin, Partha Niyogi, Vikas Sindhwani · 2006 · 3.3K citations

, , +16

Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples

BelkinMikhail, NiyogiPartha, SindhwaniVikas · Journal of Machine Learning Research · 2006 · 2.1K citations

, , +16

1–5 of 113

Authors

363

  1. YB
    Yoshua Bengio

    Université de Montréal, Canada

    5 publications · 9.9K citations

    5

    h-index

  2. FN
    Feiping Nie

    Northwestern Polytechnical University, China

    5 publications · 273 citations

    5

    h-index

  3. PV
    Petar Veličković

    Google (United States), United States

    5 publications · 1.5K citations

    5

    h-index

  4. FW
    Fei Wu

    Zhejiang University, China

    4 publications · 414 citations

    4

    h-index

  5. PL
    Píetro Lió

    University of Cambridge, United Kingdom

    4 publications · 1.5K citations

    4

    h-index

1–5 of 363

Institutions

169

  1. Tsinghua University

    Beijing, China

    8 h-index

    20 publications

    3.2K citations

  2. Zhejiang University

    Hangzhou, China

    6 h-index

    18 publications

    2K citations

  3. Chinese Academy of Sciences

    Beijing, China

    5 h-index

    12 publications

    360 citations

  4. Xiamen University

    Xiamen, China

    5 h-index

    7 publications

    775 citations

  5. Microsoft (United States)

    Redmond, United States

    3 h-index

    3 publications

    667 citations

  6. National University of Singapore

    Singapore, Singapore

    3 h-index

    5 publications

    535 citations

  7. University of Cambridge

    Cambridge, United Kingdom

    3 h-index

    6 publications

    2.9K citations

  8. Stanford University

    Stanford, United States

    3 h-index

    3 publications

    499 citations

1–8 of 169

Venues

  1. arXiv (Cornell University)

    Repository · 25 publications · 15.1K citations

    17

    h-index

  2. IEEE Transactions on Image Processing

    5 publications · 807 citations

    5

    h-index

  3. 4

    h-index

  4. Pattern Recognition

    3 publications · 83 citations

    3

    h-index

  5. IEEE Transactions on Multimedia

    3 publications · 221 citations

    3

    h-index

1–5