Causal Discovery

Causal Discovery is a key task in knowledge base construction, aiming to identify causal relationships between variables from data. It reveals potential causal mechanisms through statistical analysis and machine learning methods. The goal of this task is to construct causal graph models to support decision-making, predictive analysis, and evaluation of intervention effects, among other application scenarios, making it of significant scientific and practical value.