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Graph Data Management Systems for New Application Domains

Summary: Survey of graph data management for large-scale graphs; taxonomy by data/computation models, with representations (dense/sparse native, triples, relational) and core queries (reachability, neighborhoods, updates). Maps models to concrete systems and workloads; contrasts declarative, optimizable query-driven approaches (Neo4j/Horton) with procedural ones (Pregel), highlighting optimization implications. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10433
Venue
VLDB
Year
2011
Pagerank
5.5221995e-05
Overall Rank
7,887 | 45.89%
DOI
10.14778/3402755.3402810

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{cudremauroux_vldb11,
        title = {{Graph Data Management Systems for New Application Domains}},
        author = {Cudré-Mauroux, Philippe and Elnikety, Sameh},
        journal = {PVLDB},
        series = {{VLDB} '11},
        volume = {4},
        number = {12},
        doi = {10.14778/3402755.3402810},
        url = {https://doi.org/10.14778/3402755.3402810},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
4,787 Systems for Big-Graphs 2014 VLDB 6.5079377e-05
7,410 TriAL for RDF: Adapting Graph Query Languages for RDF Data 2013 PODS 5.6242786e-05
7,845 Graph Querying Meets HCI: State of the Art and Future Directions 2017 SIGMOD 5.5332653e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank Cited Paper Year Venue Pagerank
3 Pregel: A System for Large-Scale Graph Processing 2010 SIGMOD 0.0012250108
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