most citedDAGAF: A directed acyclic generative adversarial framework for joint structure learning and tabular data synthesis

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cs.LG2026★ 2 cited

DAGAF: A directed acyclic generative adversarial framework for joint structure learning and tabular data synthesis

Hristo Petkov, Calum MacLellan, Feng Dong

Understanding the causal relationships between data variables can provide crucial insights into the construction of tabular datasets. Most existing causality learning methods typic…