Concepedia

Causal Graph Learning

Causal Graph Learning is a computational framework within causal discovery that specifically identifies the structural dependencies among variables by inferring a directed acyclic graph representing causal relationships from observational or interventional data.

232

Publications

11.3K

Citations

1.1K

Authors

339

Institutions

Publications per year

2017–2026

167

Parents

Publications

232

Unbiased Scene Graph Generation From Biased Training

Kaihua Tang, Yulei Niu, Jianqiang Huang et al. · 2020 · 728 citations

, , +15

Order-independent constraint-based causal structure learning

Diego Colombo, Marloes H. Maathuis · arXiv (Cornell University) · 2014 · 470 citations · Full text

, , +13

From correlation to causation networks: a simple approximate learning algorithm and its application to high-dimensional plant gene expression data

Rainer Opgen-Rhein, Korbinian Strimmer · BMC Systems Biology · 2007 · 401 citations · Full text

, , +15

A million variables and more: the Fast Greedy Equivalence Search algorithm for learning high-dimensional graphical causal models, with an application to functional magnetic resonance images

Joseph Ramsey, Madelyn Glymour, Rubén Sánchez-Romero et al. · International Journal of Data Science and Analytics · 2016 · 323 citations · Full text

, , +12

Causal Discovery with Attention-Based Convolutional Neural Networks

Meike Nauta, Doina Bucur, Christin Seifert · Machine Learning and Knowledge Extraction · 2019 · 263 citations · Full text

, , +17

1–5 of 232

Authors

1.1K

  1. SZ
    Shengyu Zhu

    Huawei Technologies (China), China

    6 publications · 257 citations

    6

    h-index

  2. CU
    Caroline Uhler

    Massachusetts Institute of Technology, United States

    6 publications · 122 citations

    6

    h-index

  3. MK
    Murat Kocaoglu

    The University of Texas at Austin, United States

    5 publications · 176 citations

    5

    h-index

  4. CS
    Chandler Squires

    Massachusetts Institute of Technology, United States

    4 publications · 62 citations

    4

    h-index

  5. HZ
    Hanwang Zhang

    Nanyang Technological University, Singapore

    4 publications · 809 citations

    4

    h-index

1–5 of 1.1K

Institutions

339

  1. Tsinghua University

    Beijing, China

    14 h-index

    40 publications

    2.3K citations

  2. Huawei Technologies (China)

    Shenzhen, China

    8 h-index

    30 publications

    1K citations

  3. Massachusetts Institute of Technology

    Cambridge, United States

    8 h-index

    16 publications

    371 citations

  4. Nanyang Technological University

    Singapore, Singapore

    7 h-index

    14 publications

    2.9K citations

  5. University of Science and Technology of China

    Hefei, China

    6 h-index

    21 publications

    804 citations

  6. Beihang University

    Beijing, China

    6 h-index

    15 publications

    570 citations

  7. Renmin University of China

    Beijing, China

    6 h-index

    12 publications

    955 citations

  8. University of Toronto

    Toronto, Canada

    6 h-index

    7 publications

    299 citations

1–8 of 339

Venues

  1. arXiv (Cornell University)

    Repository · 48 publications · 2.2K citations

    27

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 10 publications · 375 citations

    10

    h-index

  3. Journal of Machine Learning Research

    JMLR · 4 publications · 400 citations

    4

    h-index

  4. Neural Information Processing Systems

    Conference · 4 publications · 154 citations

    4

    h-index

  5. 4

    h-index

1–5