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News/Joint Relational Database Generation via Graph-Conditional Diffusion Models
arxiv
PublishedMay 7, 2026 at 4:00 AM
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Joint Relational Database Generation via Graph-Conditional Diffusion Models

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arxiv.orgfull article ↗
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Publisher summary· verbatim

arXiv:2505.16527v3 Announce Type: replace Abstract: Building generative models for relational databases (RDBs) is important for many applications, such as privacy-preserving data release and augmenting real datasets. However, most prior works either focus on single-table generation or adapt single-t

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Mentioned models
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  • 01
    Graph-Conditional Relational Diffusion Model (GRDM)
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arxiv
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#relational-databases#generative-models#graph-neural-networks#diffusion-models

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Mentioned models
01
  • 01
    Graph-Conditional Relational Diffusion Model (GRDM)
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#relational-databases#generative-models#graph-neural-networks#diffusion-models

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arxivVeriEvolve: Evaluator-First Evolution for Tool-Using Agents1darxivTNODEV: Toolbox for Neural ODE Verification1darxivLearning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding1darxivOn the Expressive Power and Limitations of Multi-Layer SSMs1d
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