A synthetic benchmark suite for time-series causal discovery with known ground truths, combining linear and nonlinear dependencies, trends, seasonality, irregular sampling, missingness, and latent confounders.
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TimeGraph: Synthetic Benchmark Datasets for Robust Time-Series Causal Discovery
A synthetic benchmark suite for time-series causal discovery with known ground truths, combining linear and nonlinear dependencies, trends, seasonality, irregular sampling, missingness, and latent confounders.