Parallel Traversal of Graphs Stored in RDBMSs
Summary: Application-layer framework for parallel graph traversal over graphs stored in arbitrary RDBMSs, supporting recursive traversals for single-server workloads without DB engine changes. Unique in being RDBMS-agnostic and leveraging multicore/multithreaded parallelism. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Christine F. Reilly (Skidmore College)
BibTeX Citation
@inproceedings{reilly_cidr20,
address = {Amsterdam, Netherlands},
series = {{CIDR} '20},
title = {{Parallel Traversal of Graphs Stored in RDBMSs}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Reilly, Christine F.},
year = {2020}
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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 |
|---|---|---|---|---|
| 236 | LinkBench: a Database Benchmark Based on the Facebook Social Graph | 2013 | SIGMOD | 0.00023664907 |
| 3,801 | All-in-One: Graph Processing in RDBMSs Revisited | 2017 | SIGMOD | 7.0128676e-05 |
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