Concepedia

Motif Representation Learning

Motif Representation Learning is a computational learning paradigm that, within the broader class of representation learning methods, specifically focuses on discovering and encoding recurring, structurally significant subgraph patterns—termed motifs—in networked data to produce motif-aware, low-dimensional embeddings that preserve higher-order topological dependencies.

69

Publications

3.7K

Citations

216

Authors

101

Institutions

Publications per year

2017–2026

52

Parents

Publications

69

Unsupervised learning of multiple motifs in biopolymers using expectation maximization

Timothy L. Bailey, Charles Elkan · Machine Learning · 1995 · 670 citations · Full text

, , +14

Graph CNNs with Motif and Variable Temporal Block for Skeleton-Based Action Recognition

Yu‐Hui Wen, Lin Gao, Hongbo Fu et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2019 · 170 citations · Full text

, , +14

Accelerated materials property predictions and design using motif-based fingerprints

Tran Doan Huan, Arun Mannodi‐Kanakkithodi, Rampi Ramprasad · Physical Review B · 2015 · 168 citations · Full text

, , +17

Hierarchical Molecular Graph Self-Supervised Learning for property prediction

Xuan Zang, Xianbing Zhao, Buzhou Tang · Communications Chemistry · 2023 · 156 citations · Full text

, , +13

Representation learning of genomic sequence motifs with convolutional neural networks

Peter K. Koo, Sean R. Eddy · PLoS Computational Biology · 2019 · 133 citations · Full text

, , +15

1–5 of 69

Authors

216

  1. PK
    Peter K. Koo

    Cold Spring Harbor Laboratory, United States

    3 publications · 237 citations

    3

    h-index

  2. AS
    Arjun Subramonian

    University of California, Los Angeles, United States

    3 publications · 103 citations

    3

    h-index

  3. FZ
    Fang‐Lue Zhang

    Tsinghua University, China

    2 publications · 235 citations

    2

    h-index

  4. BZ
    Bo-Wei Zhao

    Chinese Academy of Sciences, China

    2 publications · 115 citations

    2

    h-index

  5. AF
    Alex Finnegan

    University of Illinois Urbana-Champaign, United States

    2 publications · 58 citations

    2

    h-index

1–5 of 216

Institutions

101

  1. University of California, Los Angeles

    Los Angeles, United States

    4 h-index

    7 publications

    282 citations

  2. Zhejiang University

    Hangzhou, China

    4 h-index

    9 publications

    263 citations

  3. University of Illinois Urbana-Champaign

    Urbana, United States

    4 h-index

    11 publications

    347 citations

  4. Chinese Academy of Sciences

    Beijing, China

    4 h-index

    19 publications

    1.4K citations

  5. Harvard University

    Cambridge, United States

    4 h-index

    7 publications

    422 citations

  6. Peng Cheng Laboratory

    Shenzhen, China

    3 h-index

    7 publications

    259 citations

  7. University of Washington

    Seattle, United States

    3 h-index

    8 publications

    620 citations

  8. Howard Hughes Medical Institute

    Chevy Chase, United States

    2 h-index

    4 publications

    306 citations

1–8 of 101

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 245 citations

    5

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 3 publications · 125 citations

    3

    h-index

  3. Bioinformatics

    3 publications · 133 citations

    3

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 257 citations

    3

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 3 publications · 48 citations

    3

    h-index

1–5