Methods › Graphs › Graph Embeddings › GraRep
Graph Representation with Global structure
GraRep
Introduced by Shaosheng Cao et al. in GraRep: Learning Graph Representations with Global Structural Information
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
The archive carries no description for this method.
Papers archive 2025-07-28
5 shown of 5, 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.
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Classic Graph Structural Features Outperform Factorization-Based Graph Embedding Methods on Community Labeling 20 Jan 2022 · 1 repository · arXiv:2201.08481
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REFINE: Random RangE FInder for Network Embedding 24 Aug 2021 · 0 repositories · arXiv:2108.10703
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Network Representation Learning: Consolidation and Renewed Bearing 2 May 2019 · 1 repository · arXiv:1905.00987
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Spectral Network Embedding: A Fast and Scalable Method via Sparsity 7 Jun 2018 · 1 repository · arXiv:1806.02623
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GraRep: Learning Graph Representations with Global Structural Information 17 Oct 2015 · 2 repositories
Tasks archive 2025-07-28
10 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
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
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections