GraphGen: Exploring Interesting Graphs in Relational Data
Summary: GraphGen enables declarative graph extraction from relational data, with visual exploration and graph algorithms runnable via NetworkX. By co-optimizing extraction and analytics, it uncovers implicit graphs without data export, enabling end-to-end graph analytics. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Konstantinos Xirogiannopoulos (University of Maryland)
- 2. Udayan Khurana (University of Maryland)
- 3. Amol Deshpande (University of Maryland)
BibTeX Citation
@article{xirogiannopoulos_vldb15,
title = {{GraphGen: Exploring Interesting Graphs in Relational Data}},
author = {Xirogiannopoulos, Konstantinos and Khurana, Udayan and Deshpande, Amol},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {12},
pages = {2032--2035},
doi = {10.14778/2824032.2824129},
url = {https://doi.org/10.14778/2824032.2824129},
year = {2015}
}
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,854 | Extracting and Analyzing Hidden Graphs from Relational Databases | 2017 | SIGMOD | 8.0350257e-05 |
| 3,872 | All-in-One: Graph Processing in RDBMSs Revisited | 2017 | SIGMOD | 7.0580243e-05 |
| 4,340 | GRFusion: Graphs as First-Class Citizens in Main-Memory Relational Database Systems | 2018 | SIGMOD | 6.7539375e-05 |
| 5,364 | Fast Join Project Query Evaluation using Matrix Multiplication | 2020 | SIGMOD | 6.2472125e-05 |
| 5,383 | Compressed Representations of Conjunctive Query Results | 2018 | PODS | 6.2374576e-05 |
| 6,408 | CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression | 2023 | SIGMOD | 5.8842681e-05 |
| 12,075 | Graph-based Exploration of Non-graph Datasets | 2016 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 759 | The case against specialized graph analytics engines | 2015 | CIDR | 0.00014273591 |
| 2,433 | Vertexica: Your Relational Friend for Graph Analytics! | 2014 | VLDB | 8.5869161e-05 |
| 2,458 | Large-Scale Graph Analytics in Aster 6: Bringing Context to Big Data Discovery | 2014 | VLDB | 8.5509012e-05 |
| 4,872 | Ringo: Interactive Graph Analytics on Big-Memory Machines | 2015 | SIGMOD | 6.4697044e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 8,867 | Generating Flexible Workloads for Graph Databases | 2016 | VLDB |
| 2 | 294 | Graphs-at-a-time: Query Language and Access Methods for Graph Databases | 2008 | SIGMOD |
| 3 | 3,572 | Summary Graphs for Relational Database Schemas | 2011 | VLDB |
| 4 | 1,359 | GraphDB: Modeling and Querying Graphs in Databases | 1994 | VLDB |
| 5 | 1,578 | Simple and Realistic Data Generation | 2006 | VLDB |
| 6 | 10,037 | Graph Exploration: From Users to Large Graphs | 2017 | SIGMOD |
| 7 | 7,769 | G-SQL: Fast Query Processing via Graph Exploration | 2016 | VLDB |
| 8 | 11,859 | GraphWrangler: An Interactive Graph View on Relational Data | 2019 | SIGMOD |
| 9 | 12,075 | Graph-based Exploration of Non-graph Datasets | 2016 | VLDB |
| 10 | 2,854 | Extracting and Analyzing Hidden Graphs from Relational Databases | 2017 | SIGMOD |