Tags for DAGs: Graph Refinement with Meta-Informed Relations
The paper introduces a method to improve causal discovery in graphs by assigning multiple descriptive tags to variables instead of single types. This allows for richer, more flexible causal relations, using external knowledge like Large Language Models (LLMs) to guide the tagging process and enhance accuracy.