Graph-based Exploration of Non-graph Datasets
Summary: GraphViewer automatically discovers implicit graphs in non-graph data (relational, JSON, XML, CSV, text) via rule-based and data-driven extraction for fast graph-based exploration. It computes node- and graph-level metrics, detects anomalies, and summarizes findings, coupling automated processing with human-in-the-loop guidance for interpretation. (summarized by gpt-5-nano on Feb 09 2026)
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 851 | The case against specialized graph analytics engines | 2015 | CIDR | 0.0001594441 |
| 2,487 | Large-Scale Graph Analytics in Aster 6: Bringing Context to Big Data Discovery | 2014 | VLDB | 8.6710828e-05 |
| 2,709 | Vertexica: Your Relational Friend for Graph Analytics! | 2014 | VLDB | 8.2530203e-05 |
| 4,798 | Ringo: Interactive Graph Analytics on Big-Memory Machines | 2015 | SIGMOD | 5.9121709e-05 |
| 5,805 | GraphGen: Exploring Interesting Graphs in Relational Data | 2015 | VLDB | 5.3203552e-05 |
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