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    Graph learning· survey· 2016

    Geometric deep learning: going beyond Euclidean data

    Bronstein (first author) · 2016 · published 2017

    Read the original

    DOI 10.1109/msp.2017.2693418arXiv 1611.08097OpenAlex W2558748708

    On the reading lists

    Why it matters

    Defined geometric deep learning as a field.

    Condensed from the expert lists' notes.

    The record

    First released
    2016 (from arXiv 1611.08097)
    Published
    2017
    Citations
    3,609 citations, as counted by OpenAlex (CC0)
    Named by
    the grok list only
    Also relevant to
    AI for science

    Editor's notes

    • Classed as survey: An overview of the field in IEEE Signal Processing Magazine, not a single new method. (AI draft (Claude), not yet reviewed, 2026-10-29)

    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.