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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)

Paper ID
5802
Venue
SIGMOD
Year
2019
Pagerank
5.093636e-05
Overall Rank
11,859 | 18.64%
DOI
10.1145/3299869.3320232

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

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
8,468 Making RDBMSs Efficient on Graph Workloads Through Predefined Joins 2022 VLDB 5.418656e-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
264 The Ubiquity of Large Graphs and Surprising Challenges of Graph Processing 2018 VLDB 0.00022980015
1,058 Graphflow: An Active Graph Database 2017 SIGMOD 0.00012378784
1,866 Predictive Interaction for Data Transformation 2015 CIDR 9.5914583e-05
3,160 Graph Cube: On Warehousing and OLAP Multidimensional Networks 2011 SIGMOD 7.6823631e-05
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