database schema modeling 1pretraining 1relational foundation models 1scaling laws 1synthetic data generation 1
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cs.DB2026
PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models
Vignesh Kothapalli, Rishabh Ranjan, Valter Hudovernik +4
The paper presents PLUREL, a lightweight framework for generating synthetic multi-table relational databases, enabling the study of scaling laws in relational foundation models and…
cs.DB2024
Benchmarking the Fidelity and Utility of Synthetic Relational Data
Valter Hudovernik, Martin JurkoviÄ, Erik Å trumbelj
Synthesizing relational data has started to receive more attention from researchers, practitioners, and industry. The task is more difficult than synthesizing a single table due to…