Concepedia

Feature Engineering For Graph Data

Feature Engineering for Graph Data is a methodological framework within the broader domain of feature engineering that specifically enables the extraction, transformation, and construction of domain-relevant structural and attribute-based features from graph-structured data to enhance the performance of machine learning models operating on relational topologies.

35

Publications

3.7K

Citations

151

Authors

63

Institutions

Publications per year

2017–2026

23

Parents

Publications

35

Weisfeiler-lehman graph kernels

Max Planck Digital Library · 2010 · 1.6K citations · Full text

, , +17

Learning Convolutional Neural Networks for Graphs

Mathias Niepert, Mohamed M. Ahmed, Konstantin Kutzkov · arXiv (Cornell University) · 2016 · 819 citations · Full text

, , +16

Survey on graph embeddings and their applications to machine learning problems on graphs

Ilya Makarov, Dmitrii Kiselev, Nikita Nikitinsky et al. · PeerJ Computer Science · 2021 · 119 citations · Full text

, , +16

XGraphBoost: Extracting Graph Neural Network-Based Features for a Better Prediction of Molecular Properties

Daiguo Deng, Xiaowei Chen, Ruochi Zhang et al. · Journal of Chemical Information and Modeling · 2021 · 90 citations

, , +17

Hunt For The Unique, Stable, Sparse And Fast Feature Learning On Graphs

Saurabh Verma, Zhi Li Zhang · Neural Information Processing Systems · 2017 · 88 citations

, , +16

1–5 of 35

Authors

151

  1. IM
    Ilya Makarov

    National Research University Higher School of Economics, Russia

    2 publications · 171 citations

    2

    h-index

  2. XW
    Xin Wang

    Tianjin University, China

    1 publications · 12 citations

    1

    h-index

  3. XC
    Xuehan Cao

    Southeast University, China

    1 publications · 51 citations

    1

    h-index

  4. HC
    Heng Chang

    Tsinghua University, China

    1 publications · 12 citations

    1

    h-index

  5. AK
    Ashish Kr. Luhach

    Papua New Guinea University of Technology, Papua New Guinea

    1 publications · 78 citations

    1

    h-index

1–5 of 151

Institutions

63

  1. National Research University Higher School of Economics

    Moscow, Russia

    2 h-index

    6 publications

    446 citations

  2. University of Ljubljana

    Ljubljana, Slovenia

    2 h-index

    3 publications

    290 citations

  3. The University of Osaka

    Osaka, Japan

    1 h-index

    4 publications

    80 citations

  4. University of Illinois Chicago

    Chicago, United States

    1 h-index

    3 publications

    141 citations

  5. Amazon (Germany)

    Berlin, Germany

    1 h-index

    1 publications

    12 citations

  6. Tencent (China)

    Shenzhen, China

    1 h-index

    3 publications

    114 citations

  7. Nanyang Technological University

    Singapore, Singapore

    1 h-index

    1 publications

    33 citations

  8. National Engineering School of Tunis

    Tunis, Tunisia

    1 h-index

    1 publications

    37 citations

1–8 of 63

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 860 citations

    4

    h-index

  2. PeerJ Computer Science

    2 publications · 171 citations

    2

    h-index

  3. 1

    h-index

  4. 1

    h-index

  5. Lirias (KU Leuven)

    Repository · 1 publications · 59 citations

    1

    h-index

1–5