Concepedia

Attention-based Message Passing

Attention-Based Message Passing is a message passing framework in graph neural networks that employs attention mechanisms to dynamically weight the influence of neighboring nodes during information aggregation, thereby distinguishing itself from uniform or fixed-weight message passing schemes by enabling adaptive and context-sensitive neighborhood interactions.

18

Publications

1.1K

Citations

79

Authors

25

Institutions

Publications per year

2017–2026

18

Parents

Publications

18

Building attention and edge message passing neural networks for bioactivity and physical–chemical property prediction

Michael Withnall, Edvard Lindelöf, Ola Engkvist et al. · Journal of Cheminformatics · 2020 · 253 citations · Full text

, , +15

Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs

Ming Tu, Guangtao Wang, Jing Huang et al. · 2019 · 150 citations · Full text

, , +16

Learning to Match Features with Seeded Graph Matching Network

Hongkai Chen, Zixin Luo, Jiahui Zhang et al. · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · 2021 · 144 citations · Full text

, , +15

Global Relational Models of Source Code

Vincent J. Hellendoorn, Charles Sutton, Rishabh Singh et al. · International Conference on Learning Representations · 2020 · 100 citations

, , +16

Unifying Graph Convolutional Neural Networks and Label Propagation

Hongwei Wang, Jure Leskovec · arXiv (Cornell University) · 2020 · 100 citations · Full text

, , +14

1–5 of 18

Authors

79

  1. XH
    Xiaodong He

    Microsoft (United States), United States

    2 publications · 178 citations

    2

    h-index

  2. YT
    Yun Tang

    Johns Hopkins University, United States

    2 publications · 178 citations

    2

    h-index

  3. JH
    Jing Huang

    JDSU (United States), United States

    2 publications · 178 citations

    2

    h-index

  4. MT
    Ming Tu

    Arizona State University, United States

    2 publications · 178 citations

    2

    h-index

  5. BZ
    Bowen Zhou

    IBM (United States), United States

    2 publications · 178 citations

    2

    h-index

1–5 of 79

Institutions

25

  1. Seoul National University

    Seoul, South Korea

    2 h-index

    6 publications

    276 citations

  2. University of Chinese Academy of Sciences

    Beijing, China

    2 h-index

    6 publications

    202 citations

  3. Deakin University

    Burwood, Australia

    1 h-index

    4 publications

    72 citations

  4. Queen's University

    Kingston, Canada

    1 h-index

    1 publications

    15 citations

  5. AstraZeneca (Sweden)

    Södertälje, Sweden

    1 h-index

    4 publications

    1K citations

  6. Google (United States)

    Mountain View, United States

    1 h-index

    2 publications

    200 citations

  7. Institute of Software

    Beijing, China

    1 h-index

    1 publications

    21 citations

  8. Kangwon National University

    Chuncheon, South Korea

    1 h-index

    1 publications

    12 citations

1–8 of 25

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 161 citations

    4

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 25 citations

    1

    h-index

  3. Journal of Cheminformatics

    1 publications · 253 citations

    1

    h-index

  4. International Conference on Learning Representations

    Conference · 1 publications · 100 citations

    1

    h-index

  5. PubMed

    Repository · 1 publications · 15 citations

    1

    h-index

1–5