the open
    research
    Contribute
    Back to the reading lists

    Graph learning· 2003

    Laplacian Eigenmaps for Dimensionality Reduction and Data Representation

    Mikhail Belkin (first author) · 2003

    Read the original

    DOI 10.1162/089976603321780317OpenAlex W2097308346

    On the reading lists

    Why it matters

    Made graph Laplacians central to nonlinear dimensionality reduction and manifold representation.

    Condensed from the expert lists' notes.

    The record

    First released
    2003 (from OpenAlex)
    Citations
    7,640 citations, as counted by OpenAlex (CC0)
    Named by
    the chatgpt list only
    Also relevant to
    Computer vision & multimodal
    Score
    0.348 · computed rank 485 · consensus 0.3, must-read 0, citations percentile 0.736 (2000s · all domains), 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.