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    Graph learning· 2020

    Graph Contrastive Learning with Augmentations

    Yuning You (first author) · 2020

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    arXiv 2010.13902OpenAlex W3095602948

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    Why it matters

    Made graph augmentations central to contrastive self-supervised representation learning.

    Condensed from the expert lists' notes.

    The record

    First released
    2020 (from arXiv 2010.13902)
    Citations
    3,054 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    both expert lists
    Score
    0.364 · computed rank 442 · consensus 0.1, must-read 0, citations percentile 0.955 (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.