Concepedia

Graph-level Embeddings

Graph-Level Embeddings is a graph representation learning technique that generates a single, fixed-dimensional vector summarizing the global structural and semantic properties of an entire graph, distinguishing it from node- or edge-level embedding methods by capturing holistic topological patterns.

135

Publications

10.3K

Citations

547

Authors

195

Institutions

Publications per year

2017–2026

123

Parents

Publications

135

DeepWalk

2014 · 8.5K citations · Full text

, , +16

Heterogeneous Graph Attention Network

Xiao Wang, Houye Ji, Chuan Shi et al. · 2019 · 2.9K citations · Full text

, , +13

Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs

Minjie Wang, Lingfan Yu, Da Zheng et al. · arXiv (Cornell University) · 2019 · 453 citations · Full text

, , +12

SimGNN

Yunsheng Bai, Hao Ding, Song Bian et al. · 2019 · 322 citations · Full text

, , +13

HARP: Hierarchical Representation Learning for Networks

Haochen Chen, Bryan Perozzi, Yifan Hu et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2018 · 290 citations · Full text

, , +13

1–5 of 135

Authors

547

  1. HP
    Hao Peng

    Beihang University, China

    7 publications · 453 citations

    7

    h-index

  2. YS
    Yizhou Sun

    University of California, Los Angeles, United States

    6 publications · 508 citations

    6

    h-index

  3. PS
    Philip S. Yu

    University of Illinois Chicago, United States

    6 publications · 3.2K citations

    6

    h-index

  4. WW
    Wei Wang

    University of California, Los Angeles, United States

    6 publications · 508 citations

    6

    h-index

  5. YB
    Yunsheng Bai

    University of California, Los Angeles, United States

    6 publications · 508 citations

    6

    h-index

1–5 of 547

Institutions

195

  1. Beihang University

    Beijing, China

    7 h-index

    21 publications

    1.4K citations

  2. Tsinghua University

    Beijing, China

    7 h-index

    19 publications

    3.5K citations

  3. University of California, Los Angeles

    Los Angeles, United States

    6 h-index

    27 publications

    2.3K citations

  4. Beijing University of Posts and Telecommunications

    Beijing, China

    5 h-index

    17 publications

    12K citations

  5. University of Illinois Chicago

    Chicago, United States

    5 h-index

    10 publications

    3.6K citations

  6. University of Illinois Urbana-Champaign

    Urbana, United States

    5 h-index

    9 publications

    362 citations

  7. Purdue University West Lafayette

    West Lafayette, United States

    4 h-index

    4 publications

    414 citations

  8. Macquarie University

    Sydney, Australia

    4 h-index

    10 publications

    385 citations

1–8 of 195

Venues

  1. arXiv (Cornell University)

    Repository · 17 publications · 899 citations

    13

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 8 publications · 924 citations

    8

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 7 publications · 322 citations

    7

    h-index

  4. Pattern Recognition

    5 publications · 229 citations

    5

    h-index

  5. Knowledge-Based Systems

    5 publications · 243 citations

    5

    h-index

1–5