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Quasi-stable Coloring for Graph Compression

Summary: Introduces quasi-stable coloring, the first approximate color-refinement scheme, trading graph compression for representation accuracy beyond strict symmetries. Establishes approximation benefits for LP, max-flow, and betweenness centrality; maximal coloring is NP-hard, addressed heuristically. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
13521
Venue
VLDB
Year
2023
Pagerank
5.093636e-05
Overall Rank
11,505 | 21.07%
DOI
10.14778/3574245.3574264

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Authors

BibTeX Citation

@article{kayali_vldb23,
        title = {{Quasi-stable Coloring for Graph Compression}},
        author = {Kayali, Moe and Suciu, Dan},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {4},
        pages = {803--815},
        doi = {10.14778/3574245.3574264},
        url = {https://doi.org/10.14778/3574245.3574264},
        year = {2023}
}

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

Rank Cited Paper Year Venue Pagerank
1,411 word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Structured Data 2020 PODS 0.00010852334
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