Concepedia

Graph Self-supervised Learning

Graph Self-Supervised Learning is a machine learning framework that belongs to the class of self-supervised learning methods, distinguished by its specific design to leverage the structural and relational information inherent in graph-structured data to generate supervisory signals for representation learning without explicit labels.

218

Publications

14.4K

Citations

735

Authors

237

Institutions

Publications per year

2017–2026

218

Variants

Graph Ssl

Parents

Publications

218

Self-supervised Graph Learning for Recommendation

2021 · 1.3K citations · Full text

, , +15

Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST

Yahui Long, Kok Siong Ang, Mengwei Li et al. · Nature Communications · 2023 · 594 citations · Full text

, , +16

Geometry-enhanced molecular representation learning for property prediction

Xiaomin Fang, Lihang Liu, Jieqiong Lei et al. · Nature Machine Intelligence · 2022 · 565 citations · Full text

, , +17

Graph Self-Supervised Learning: A Survey

Yixin Liu, Ming Jin, Shirui Pan et al. · IEEE Transactions on Knowledge and Data Engineering · 2022 · 495 citations · Full text

, , +14

Multiview Clustering: A Scalable and Parameter-Free Bipartite Graph Fusion Method

Xuelong Li, Han Zhang, Rong Wang et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2020 · 455 citations

, , +14

1–5 of 218

Authors

735

  1. PS
    Philip S. Yu

    University of Illinois Chicago, United States

    7 publications · 839 citations

    8

    h-index

  2. SP
    Shirui Pan

    Monash University, Australia

    6 publications · 729 citations

    7

    h-index

  3. CS
    Chuan Shi

    Beijing University of Posts and Telecommunications, China

    7 publications · 821 citations

    7

    h-index

  4. YZ
    Yizhen Zheng

    Monash University, Australia

    6 publications · 260 citations

    6

    h-index

  5. YD
    Yuxiao Dong

    Tsinghua University, China

    5 publications · 700 citations

    5

    h-index

1–5 of 735

Institutions

237

  1. Peking University

    Beijing, China

    10 h-index

    30 publications

    2K citations

  2. Chinese Academy of Sciences

    Beijing, China

    10 h-index

    18 publications

    1.3K citations

  3. Monash University

    Melbourne, Australia

    9 h-index

    22 publications

    2.3K citations

  4. Beijing University of Posts and Telecommunications

    Beijing, China

    8 h-index

    22 publications

    3K citations

  5. Tsinghua University

    Beijing, China

    8 h-index

    21 publications

    1.2K citations

  6. University of Chinese Academy of Sciences

    Beijing, China

    7 h-index

    11 publications

    279 citations

  7. University of Electronic Science and Technology of China

    Chengdu, China

    7 h-index

    13 publications

    788 citations

  8. Xidian University

    Xi'an, China

    7 h-index

    25 publications

    2.5K citations

1–8 of 237

Venues

  1. arXiv (Cornell University)

    Repository · 48 publications · 2.2K citations

    25

    h-index

  2. 12

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 11 publications · 796 citations

    11

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 8 publications · 1.1K citations

    9

    h-index

  5. Knowledge-Based Systems

    5 publications · 412 citations

    7

    h-index

1–5