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G-SQL: Fast Query Processing via Graph Exploration

Summary: G-SQL fuses an in-memory graph engine with an RDBMS to accelerate graph exploration and multi-way joins. A SQL dialect augmented with graph exploration dispatches tasks to both runtimes under a unified cost model; experiments show expanded capabilities and strong SQL-graph performance. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11377
Venue
VLDB
Year
2016
Pagerank
4.6589413e-05
Overall Rank
7,760 | 46.02%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
3,143 Extracting and Analyzing Hidden Graphs from Relational Databases 2017 SIGMOD 7.4804326e-05
5,338 Fast In-Memory SQL Analytics on Typed Graphs 2017 VLDB 5.5629772e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

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

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