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All-in-One: Graph Processing in RDBMSs Revisited
Summary: Proposes SQL-driven graph operators: MM-join, MV-join, anti-join, union-by-update—linking graphs to matrix/vector semirings in RDBMS. Revisits SQL recursion to fixpoints; demonstrates feasibility with ten algorithms on nine graphs across three DBMSs.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
hdf2aa3c41a5889db
Venue
SIGMOD
Year
2017
Pagerank
7.0161889e-05
Overall Rank
3,798 | 74.47%
DOI
10.1145/3035918.3035943
Incoming Non-self Citations Over Time
BibTeX Citation
Copy BibTeX
@inproceedings{zhao_sigmod17,
title = {{All-in-One: Graph Processing in RDBMSs Revisited}},
author = {Zhao, Kangfei and Yu, Jeffrey Xu},
series = {{SIGMOD} '17},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3035918.3035943},
url = {https://dl.acm.org/doi/10.1145/3035918.3035943},
year = {2017}
}
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Graphs-at-a-time: Query Language and Access Methods for Graph Databases
2008
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