PyExplore: Query Recommendations for Data Exploration without Query Logs
Summary: PyExplore provides query recommendations for data exploration on unseen datasets without relying on historical query logs. It accepts an initial query and parameters, and outputs diverse, data-correlated recommendations to guide exploration. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,525 | DatAgent: The Imminent Age of Intelligent Data Assistants | 2021 | VLDB | 4.1905499e-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 |
|---|---|---|---|---|
| 263 | OPTICS: Ordering Points To Identify the Clustering Structure | 1999 | SIGMOD | 0.00029955858 |
| 1,010 | SnipSuggest: Context-Aware Autocompletion for SQL | 2011 | VLDB | 0.00014644808 |
| 4,168 | Automatic Example Queries for Ad Hoc Databases | 2011 | SIGMOD | 6.3822979e-05 |
| 4,540 | Automating Exploratory Data Analysis via Machine Learning: An Overview | 2020 | SIGMOD | 6.0978937e-05 |
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| 3,076 | Explore-by-Example: An Automatic Query Steering Framework for Interactive Data Exploration | 2014 | SIGMOD | 7.6063803e-05 |
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