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    Graph learning· 2019

    Simplifying Graph Convolutional Networks

    Felix Wu (first author) · 2019

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    arXiv 1902.07153OpenAlex W2916106175

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    Why it matters

    Showed graph convolution often works without nonlinear intermediate layers.

    Condensed from the expert lists' notes.

    The record

    First released
    2019 (from arXiv 1902.07153)
    Citations
    4,057 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    both expert lists
    Score
    0.400 · computed rank 365 · consensus 0.42, must-read 0, citations percentile 0.783 (2010s · graphs), awards 0, existing lists 0. Method

    Data sources

    Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.