Concepedia

Inductive Graph Learning

Inductive Graph Learning is a paradigm of graph-based machine learning wherein a model learns to generalize from observed graph instances to unobserved graphs or evolving graph structures by inferring underlying patterns without requiring retraining on the entire graph.

115

Publications

27.1K

Citations

459

Authors

177

Institutions

Publications per year

2017–2026

107

Variants

Inductive Graph Representation Learning

Parents

Publications

115

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

Graph Attention Networks

Petar Veličković, Guillem Cucurull, Arantxa Casanova et al. · arXiv (Cornell University) · 2017 · 947 citations · Full text

, , +16

Graph Representation Learning via Graphical Mutual Information Maximization

Zhen Peng, Wenbing Huang, Minnan Luo et al. · 2020 · 529 citations · Full text

, , +16

1–5 of 115

Authors

459

  1. PV
    Petar Veličković

    Google (United States), United States

    7 publications · 1.8K citations

    7

    h-index

  2. YB
    Yoshua Bengio

    Université de Montréal, Canada

    5 publications · 9.9K citations

    5

    h-index

  3. PL
    Píetro Lió

    University of Cambridge, United Kingdom

    4 publications · 1.5K citations

    4

    h-index

  4. RA
    Ryan A. Rossi

    Adobe Systems (United States), United States

    4 publications · 235 citations

    4

    h-index

  5. RZ
    Rong Zhou

    Mississippi State University, United States

    4 publications · 235 citations

    4

    h-index

1–5 of 459

Institutions

177

  1. Tsinghua University

    Beijing, China

    9 h-index

    23 publications

    4K citations

  2. Stanford University

    Stanford, United States

    6 h-index

    14 publications

    2.3K citations

  3. Google (United States)

    Mountain View, United States

    6 h-index

    6 publications

    723 citations

  4. Purdue University West Lafayette

    West Lafayette, United States

    5 h-index

    10 publications

    300 citations

  5. Xi'an Jiaotong University

    Xi'an, China

    4 h-index

    10 publications

    2.1K citations

  6. Université de Montréal

    Montreal, Canada

    4 h-index

    5 publications

    1.5K citations

  7. Cornell University

    Ithaca, United States

    3 h-index

    10 publications

    433 citations

  8. Chinese Academy of Sciences

    Beijing, China

    3 h-index

    8 publications

    323 citations

1–8 of 177

Venues

  1. arXiv (Cornell University)

    Repository · 37 publications · 15.9K citations

    22

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 4 publications · 182 citations

    4

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 508 citations

    3

    h-index

  4. Nature Biomedical Engineering

    2 publications · 275 citations

    2

    h-index

  5. 2

    h-index

1–5