py-why / py-why/causal-learn

How to project a GeneralGraph to a PAG?

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Python
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Description

By default, A Genearal Graph has .pag property set to False. See now I use GIN and the output is a GeneralGraph, how can I transform/project this into a PAG so that I can compare it with ground truth PAG?

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by inspecting the GeneralGraph API, its .pag property, and the GIN output path to determine whether a conversion to PAG is already supported. Check how ground-truth PAGs are represented and compared; done should document a supported projection workflow or clearly explain that no direct conversion exists.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Documentation
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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