Concepedia

Graph Few-shot Learning

Graph Few-Shot Learning is a specialized learning paradigm in graph-based machine learning that enables the generalization to new tasks or classes with limited labeled graph data by leveraging prior knowledge from related graph-structured tasks.

67

Publications

3.4K

Citations

240

Authors

99

Institutions

Publications per year

2017–2026

67

Parents

Publications

67

Few-Shot Learning with Graph Neural Networks

Víctor García, Joan Bruna · arXiv (Cornell University) · 2017 · 437 citations · Full text

, , +16

Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs

Mingyang Chen, Wen Zhang, Wei Zhang et al. · 2019 · 222 citations · Full text

, , +15

Hierarchical Graph Neural Networks for Few-Shot Learning

Cen Chen, Kenli Li, Wei Wei et al. · IEEE Transactions on Circuits and Systems for Video Technology · 2021 · 168 citations

, , +14

Graph Few-Shot Learning via Knowledge Transfer

Huaxiu Yao, Chuxu Zhang, Ying Wei et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2020 · 161 citations · Full text

, , +16

Few-shot learning with graph neural networks

Víctor García Satorras, Joan Bruna Estrach · 2018 · 160 citations

, , +16

1–5 of 67

Authors

240

  1. KD
    Kaize Ding

    Arizona State University, United States

    6 publications · 319 citations

    6

    h-index

  2. CZ
    Chuxu Zhang

    University of Notre Dame, United States

    4 publications · 357 citations

    4

    h-index

  3. HL
    Huan Liu

    Arizona State University, United States

    4 publications · 206 citations

    4

    h-index

  4. JL
    Jundong Li

    University of Virginia, United States

    3 publications · 112 citations

    4

    h-index

  5. YF
    Yuan Fang

    Singapore Management University, Singapore

    3 publications · 153 citations

    3

    h-index

1–5 of 240

Institutions

99

  1. Arizona State University

    Tempe, United States

    6 h-index

    12 publications

    609 citations

  2. University of Virginia

    Charlottesville, United States

    4 h-index

    3 publications

    112 citations

  3. Singapore Management University

    Singapore, Singapore

    4 h-index

    9 publications

    484 citations

  4. University of Notre Dame

    Notre Dame, United States

    4 h-index

    13 publications

    1.5K citations

  5. Zhejiang University of Science and Technology

    Hangzhou, China

    3 h-index

    5 publications

    907 citations

  6. Brandeis University

    Waltham, United States

    3 h-index

    3 publications

    196 citations

  7. Beihang University

    Beijing, China

    3 h-index

    16 publications

    775 citations

  8. Zhejiang University

    Hangzhou, China

    2 h-index

    7 publications

    273 citations

1–8 of 99

Venues

  1. arXiv (Cornell University)

    Repository · 8 publications · 629 citations

    8

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 308 citations

    4

    h-index

  3. Neural Networks

    3 publications · 123 citations

    3

    h-index

  4. 2

    h-index

  5. IEEE Transactions on Image Processing

    2 publications · 47 citations

    2

    h-index

1–5