DAGAF: A directed acyclic generative adversarial framework for joint structure learning and tabular data synthesis
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Understanding the causal relationships between data variables can provide crucial insights into the construction of tabular datasets. Most existing causality learning methods typically focus on applying a single identifiable causal model, such as the Additive ... ...
