GraphWrangler: An Interactive Graph View on Relational Data
Summary: GraphWrangler connects to an RDBMS to extract graphs from relational data, enabling visualization and interactive exploration with no manual ETL. It automatically generates ETL scripts and relies on a predictive interaction framework plus a SQL-subset data transformation language for interactive graph analytics. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Nafisa Anzum (University of Waterloo)
- 2. Semih Salihoglu (University of Waterloo)
- 3. Daniel Vogel (University of Waterloo)
BibTeX Citation
@inproceedings{anzum_sigmod19,
title = {{GraphWrangler: An Interactive Graph View on Relational Data}},
author = {Anzum, Nafisa and Salihoglu, Semih and Vogel, Daniel},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3320232},
url = {https://dl.acm.org/doi/10.1145/3299869.3320232},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,641 | Making RDBMSs Efficient on Graph Workloads Through Predefined Joins | 2022 | VLDB | 5.2970759e-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 |
|---|---|---|---|---|
| 239 | The Ubiquity of Large Graphs and Surprising Challenges of Graph Processing | 2018 | VLDB | 0.000235107 |
| 1,045 | Graphflow: An Active Graph Database | 2017 | SIGMOD | 0.00012322402 |
| 1,871 | Predictive Interaction for Data Transformation | 2015 | CIDR | 9.464979e-05 |
| 3,222 | Graph Cube: On Warehousing and OLAP Multidimensional Networks | 2011 | SIGMOD | 7.5135441e-05 |
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