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    Search, retrieval & recommendation· 2020

    LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

    Xiangnan He (first author) · 2020

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    arXiv 2002.02126OpenAlex W3004578093

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    Why it matters

    Simplified graph recommendation to neighborhood aggregation, establishing a strong and widely adopted baseline.

    Condensed from the expert lists' notes.

    The record

    First released
    2020 (from arXiv 2002.02126)
    Citations
    5,834 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    both expert lists
    Also relevant to
    Graph learning
    Score
    0.393 · computed rank 378 · consensus 0.25, must-read 0, citations percentile 0.909 (2020s · retrieval), 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.