Concepedia

Graph Feature Aggregation

Graph Feature Aggregation is a computational method that, by operating on graph-structured data, integrates node or edge features through neighborhood aggregation functions to produce enriched, holistic node representations while preserving topological dependencies.

45

Publications

1.9K

Citations

194

Authors

89

Institutions

Publications per year

2017–2026

45

Parents

Publications

45

Sparse Graph Attention Networks

Shihao Ji · IEEE Transactions on Knowledge and Data Engineering · 2021 · 191 citations

, , +14

Unsupervised Domain Adaptive Graph Convolutional Networks

Man Wu, Shirui Pan, Chuan Zhou et al. · 2020 · 148 citations · Full text

, , +14

Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling

Wenkai Han, Chenglu Wen, Cheng Wang et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2020 · 93 citations · Full text

, , +17

Heterogeneous Hierarchical Feature Aggregation Network for Personalized Micro-Video Recommendation

Desheng Cai, Shengsheng Qian, Quan Fang et al. · IEEE Transactions on Multimedia · 2021 · 81 citations

, , +12

Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns

2021 · 76 citations · Full text

, , +13

1–5 of 45

Authors

194

  1. XW
    Xinchao Wang

    National University of Singapore, Singapore

    4 publications · 153 citations

    4

    h-index

  2. YY
    Yiding Yang

    Stevens Institute of Technology, United States

    4 publications · 153 citations

    4

    h-index

  3. MS
    Mingli Song

    Zhejiang University, China

    3 publications · 126 citations

    3

    h-index

  4. ZF
    Zunlei Feng

    Zhejiang University, China

    2 publications · 90 citations

    2

    h-index

  5. GS
    Guojie Song

    Peking University, China

    2 publications · 69 citations

    2

    h-index

1–5 of 194

Institutions

89

  1. Chinese Academy of Sciences

    Beijing, China

    4 h-index

    15 publications

    857 citations

  2. University of Chinese Academy of Sciences

    Beijing, China

    4 h-index

    8 publications

    428 citations

  3. The University of Sydney

    Sydney, Australia

    3 h-index

    5 publications

    163 citations

  4. Harbin Institute of Technology

    Harbin, China

    3 h-index

    6 publications

    205 citations

  5. Monash University

    Melbourne, Australia

    3 h-index

    4 publications

    362 citations

  6. Shandong University

    Jinan, China

    3 h-index

    6 publications

    249 citations

  7. Peking University

    Beijing, China

    3 h-index

    6 publications

    151 citations

  8. Federation University

    Ballarat, Australia

    2 h-index

    2 publications

    66 citations

1–8 of 89

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 201 citations

    7

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 140 citations

    2

    h-index

  3. Pattern Recognition

    1 publications · 56 citations

    1

    h-index

  4. Information Fusion

    2 publications · 58 citations

    1

    h-index

  5. UTS ePRESS (University of Technology Sydney)

    Repository · 1 publications · 33 citations

    1

    h-index

1–5