non-stationary data

TTCD:Transformer Integrated Temporal Causal Discovery from Non-Stationary Time Series Data

The Transformer Integrated Temporal Causal Discovery (TTCD) Framework is a novel end-to-end approach designed to learn contemporaneous and lagged causal relations from complex non-stationary time series data. This method addresses the limitations of existing techniques by integrating temporal and frequency-domain attention, providing a unified solution for challenging real-world scenarios.