Schema Independent and Scalable Relational Learning By Castor
Summary: Castor achieves schema-independent relational learning, producing the same target definitions across common schema variations. It is scalable to large data and delivers higher accuracy than well-known learning systems over big datasets. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Jose Picado
- 2. Parisa Ataei
- 3. Arash Termehchy
- 4. Alan Fern
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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 |
|---|---|---|---|---|
| 3,345 | QuickFOIL: Scalable Inductive Logic Programming | 2015 | VLDB | 7.1958815e-05 |
| 7,664 | Schema Independent Relational Learning | 2017 | SIGMOD | 4.6857329e-05 |
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