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Arxiv
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RelDiff: Relational Data Generative Modeling with Graph-Based Diffusion Models
- RelDiff is a novel diffusion generative model designed for relational databases.
- It explicitly models the foreign key graph structure of relational databases.
- RelDiff combines a graph-conditioned diffusion process for attribute synthesis and a graph generator based on the Stochastic Block Model for structure generation.
- Experiments show that RelDiff outperforms prior methods in generating realistic and coherent synthetic relational databases.
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