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Laplacian EigenMap

LapEigen

297 papers tagged archive 2025-07-28

Introduced by Mikhail Belkin and Partha Niyogi in Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

The archive carries no description for this method.

PaperSource

Papers archive 2025-07-28

30 shown of 297, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 276 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Representation Learning54
Graph Learning37
Node Classification37
Graph Representation Learning27
Graph Neural Network24
Prediction18
Link Prediction17
Graph Classification16
Graph Regression16
Contrastive Learning12
Drug Discovery12
Graph Attention12
Graph Generation12
Molecular Property Prediction12
Property Prediction12
Recommendation Systems11
Denoising10
Decoder9
Self-Supervised Learning9
Language Modelling8

Usage over time archive 2025-07-28

Papers per year tagged with LapEigen: 2019 to 2025, peak 99 99 0 2019: 1 paper 2019 2020: 3 papers 2020 2021: 26 papers 2021 2022: 44 papers 2022 2023: 85 papers 2023 2024: 99 papers 2024 2025: 39 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (297 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Graph Embeddings

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