Graph-based Exploration of Non-graph Datasets
Summary: GraphViewer automatically discovers latent graphs in relational, JSON, XML, CSV, and text data via rule-based and data-driven techniques, optimizing extraction and storage. It supports graph metrics, anomaly detection, and human-guided interpretation for interactive exploration. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Udayan Khurana (IBM)
- 2. Srinivasan Parthasarathy (IBM)
- 3. Deepak Turaga (IBM)
BibTeX Citation
@article{khurana_vldb16,
title = {{Graph-based Exploration of Non-graph Datasets}},
author = {Khurana, Udayan and Parthasarathy, Srinivasan and Turaga, Deepak},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {13},
pages = {1557--1560},
doi = {10.14778/3007263.3007273},
url = {https://doi.org/10.14778/3007263.3007273},
year = {2016}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
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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 |
|---|---|---|---|---|
| 778 | The case against specialized graph analytics engines | 2015 | CIDR | 0.00014043807 |
| 2,355 | Vertexica: Your Relational Friend for Graph Analytics! | 2014 | VLDB | 8.5893186e-05 |
| 2,512 | Large-Scale Graph Analytics in Aster 6: Bringing Context to Big Data Discovery | 2014 | VLDB | 8.3689316e-05 |
| 4,988 | Ringo: Interactive Graph Analytics on Big-Memory Machines | 2015 | SIGMOD | 6.3251086e-05 |
| 5,092 | GraphGen: Exploring Interesting Graphs in Relational Data | 2015 | VLDB | 6.2794238e-05 |
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