Duet: efficient and scalable hybriD neUral rElation undersTanding

1 code implementation • 25 Jul 2023 • Kaixin Zhang, Hongzhi Wang, Yabin Lu, ZiQi Li, Chang Shu, Yu Yan, Donghua Yang

Although both data-driven and hybrid methods are proposed to avoid this problem, most of them suffer from high training and estimation costs, limited scalability, instability, and long-tail distribution problems on high-dimensional tables, which seriously affects the practical application of learned cardinality estimators.

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