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Variational Graph Auto Encoder

VGAE

23 papers tagged archive 2025-07-28

Introduced by Thomas N. Kipf et al. in Variational Graph Auto-Encoders

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

23 shown of 23, 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 38 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
Link Prediction12
Representation Learning8
Node Classification5
Graph Learning4
Prediction4
Community Detection3
Decoder3
Graph Representation Learning3
Graph Neural Network2
Inductive Learning2
Variational Inference2
Anomaly Detection1
Attribute1
Bayesian Optimization1
Classification1
Clustering1
Contrastive Learning1
Dimensionality Reduction1
Disentanglement1
Drug ATC Classification1

Usage over time archive 2025-07-28

Papers per year tagged with VGAE: 2016 to 2025, peak 5 5 0 2016: 1 paper 2016 2017: 0 papers 2017 2018: 0 papers 2018 2019: 4 papers 2019 2020: 1 paper 2020 2021: 4 papers 2021 2022: 5 papers 2022 2023: 3 papers 2023 2024: 4 papers 2024 2025: 1 paper 2025
Papers per year the archive tags with this method, by the paper's archive date (23 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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