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FREDE: Anytime Graph Embeddings

Summary: FREDE applies Frequent Directions sketching to graph embeddings, achieving linear space with a nonlinear transform. It iteratively processes a nonlinear PPR similarity, delivering column-covariance guarantees near SVD and competitive quality with as little as 10% node similarities. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12488
Venue
VLDB
Year
2021
Pagerank
7.0903874e-05
Overall Rank
3,828 | 73.74%
DOI
10.14778/3447689.3447713

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{tsitsulin_vldb21,
        title = {{FREDE: Anytime Graph Embeddings}},
        author = {Tsitsulin, Anton and Munkhoeva, Marina and Mottin, Davide and Karras, Panagiotis and Oseledets, Ivan and Müller, Emmanuel},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {6},
        pages = {1102--1110},
        doi = {10.14778/3447689.3447713},
        url = {https://doi.org/10.14778/3447689.3447713},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
451 Mergeable Summaries 2012 PODS 0.00018151445
556 Fast Incremental and Personalized PageRank 2011 VLDB 0.00016564032
1,968 Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank 2020 VLDB 9.3752727e-05
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