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    Graph learning· 2020

    Open Graph Benchmark: Datasets for Machine Learning on Graphs

    Weihua Hu (first author) · 2020

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    arXiv 2005.00687OpenAlex W3021975806

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    Why it matters

    Standardized realistic graph-learning datasets, evaluation protocols, and meaningful comparisons.

    Condensed from the expert lists' notes.

    The record

    First released
    2020 (from arXiv 2005.00687)
    Citations
    3,981 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    the chatgpt list only
    Score
    0.419 · computed rank 338 · consensus 0.23, must-read 0, citations percentile 1 (2020s · 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.