Concepedia

Graph-based Smoothing

Graph-Based Smoothing is a spatial smoothing technique that utilizes graph structures to model relationships among spatial units, where the smoothing process is performed by leveraging the graph’s topological properties to propagate information from neighboring nodes, thereby reducing noise while preserving spatial coherence.

14

Publications

1.6K

Citations

54

Authors

32

Institutions

Publications per year

2017–2026

7

Parents

Publications

14

Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View

Deli Chen, Yankai Lin, Wei Li et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2020 · 993 citations · Full text

, , +14

Segmentation and Quantification for Angle-Closure Glaucoma Assessment in Anterior Segment OCT

Huazhu Fu, Yanwu Xu, Stephen Lin et al. · IEEE Transactions on Medical Imaging · 2017 · 104 citations

, , +17

Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View

Deli Chen, Yankai Lin, Wei Li et al. · arXiv (Cornell University) · 2019 · 80 citations · Full text

, , +14

A general optimization framework for smoothing language models on graph structures

Qiaozhu Mei, Duo Zhang, ChengXiang Zhai · 2008 · 64 citations

, , +14

A structural smoothing framework for Robust graph-comparison

Pinar Yanardag, S. V. N. Vishwanathan · Neural Information Processing Systems · 2015 · 58 citations

, , +14

1–5 of 14

Authors

54

  1. JS
    James Sharpnack

    University of California, Davis, United States

    2 publications · 47 citations

    2

    h-index

  2. PL
    Peng Li

    Wuhan University, China

    2 publications · 1.1K citations

    2

    h-index

  3. WL
    Wei Li

    University of Electronic Science and Technology of China, China

    2 publications · 1.1K citations

    2

    h-index

  4. YL
    Yankai Lin

    Tsinghua University, China

    2 publications · 1.1K citations

    2

    h-index

  5. DC
    Deli Chen

    The University of Melbourne, Australia

    2 publications · 1.1K citations

    2

    h-index

1–5 of 54

Institutions

32

  1. National University of Singapore

    Singapore, Singapore

    2 h-index

    2 publications

    121 citations

  2. University of California San Diego

    San Diego, United States

    2 h-index

    2 publications

    47 citations

  3. Carnegie Mellon University

    Pittsburgh, United States

    2 h-index

    6 publications

    141 citations

  4. Peking University

    Beijing, China

    2 h-index

    6 publications

    3.2K citations

  5. Wenzhou University

    Wenzhou, China

    1 h-index

    1 publications

    104 citations

  6. Boston Children's Hospital

    Boston, United States

    1 h-index

    2 publications

    50 citations

  7. Tsinghua University

    Beijing, China

    1 h-index

    2 publications

    102 citations

  8. Ministry of Civil Affairs

    Beijing, China

    1 h-index

    2 publications

    44 citations

1–8 of 32

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 110 citations

    2

    h-index

  2. IEEE Transactions on Medical Imaging

    2 publications · 129 citations

    2

    h-index

  3. Neural Information Processing Systems

    Conference · 1 publications · 58 citations

    1

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 993 citations

    1

    h-index

  5. IEEE Geoscience and Remote Sensing Letters

    GRSL · 1 publications · 22 citations

    1

    h-index

1–5