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    Graph learning· 2016

    Group Equivariant Convolutional Networks

    Taco S. Cohen (first author) · 2016

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    arXiv 1602.07576OpenAlex W2279221249

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    Why it matters

    Generalized convolutions to symmetry groups, foundational for geometric equivariant networks.

    Condensed from the expert lists' notes.

    The record

    First released
    2016 (from arXiv 1602.07576)
    Citations
    2,770 citations, as counted by Semantic Scholar logoSemantic Scholar (non-commercial licence)
    Named by
    both expert lists
    Score
    0.355 · computed rank 465 · consensus 0.65, must-read 0, citations percentile 0.457 (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), and Semantic Scholar logoSemantic Scholar (used under its non-commercial API licence). Each count names its source. See the method.