SyntheRela : a benchmark for synthetic relational database generation

Hudovernik, Valter (avtor), Jurkovič, Martin (avtor), Štrumbelj, Erik (avtor)

Synthesizing relational databases has started to receive more attention from researchers, practitioners, and industry. The task is more difficult than synthesizing a single table due to the added complexity of relationships between tables. For the same reasons, benchmarking methods for synthesizing relational databases introduces new challenges. Our work is motivated by a lack of an empirical evaluation of state-of-the-art methods and by gaps in the understanding of how such an evaluation should be done. We review related work on relational database synthesis, common benchmarking datasets, and approaches to measuring the fidelity and utility of synthetic data. We combine best practices, a novel robust detection metric, and a novel approach to evaluating utility with graph neural networks into a benchmarking tool. We use this benchmark to compare 6 open-source methods over 8 real-world databases, with a total of 39 tables. The open-source SyntheRela benchmark is available on GitHub with a public leaderboard.

• Jezik: Angleški jezik
• Ključne besede: relational databases, synthetic data, benchmarking, evaluation
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FRI - Fakulteta za računalništvo in informatiko
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2026
• Št. strani: 37 str.
• PID: 20.500.12556/RUL-182333
• UDK: 004.65
• ISSN pri članku: 2835-8856
• COBISS.SI-ID: 276886531
• Datum objave v RUL: 07.05.2026

Gradivo je del revije

• Naslov: Transactions on machine learning research
• Skrajšan naslov: Transact. mach. learn. res.
• Založnik: OpenReview.net
• ISSN: 2835-8856
• COBISS.SI-ID: 233590019

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: relacijske baze, sintetični podatki, primerjalna analiza, ocenjevanje