20.500.12556/RUL-182333 SyntheRela a benchmark for synthetic relational database generation 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. relational databases synthetic data benchmarking evaluation relacijske baze sintetični podatki primerjalna analiza ocenjevanje true false true Angleški jezik Slovenski jezik Članek v reviji 2026-05-07 12:31:39 2026-05-07 12:31:40 2026-05-08 04:51:47 0000-00-00 00:00:00 2026 0 0 37 str. Feb. 2026 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.65 2835-8856 276886531 RAZ_Hudovernik_Valter_2026.pdf RAZ_Hudovernik_Valter_2026.pdf 1 95EE2739509E0982590930C03B450B2F b1c1833da5dfbf060b4d8911d34dc975c4596dbe76f4119993926208bb7ec3d1 41fda511-4a00-11f1-b0ab-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=233494 https://openreview.net/pdf?id=Mi8XioazWy 1 a4732adc-49ff-11f1-b0ab-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=233493 Fakulteta za računalništvo in informatiko 0 0 0