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Is your feature request related to a problem? Please describe.
In causal graphs (DAG, ADMG, CPDAG, PAG, MAG), there is the notion of an edge being visible. For the DAG/ADMG/CPDAG, edges are by definition always visible.
Describe the solution you'd like
Implement function visible_edge(graph, source, target) to determine if the edge between source and target is visible or not.
No I think visibility is a graphical property of an edge.
Proper possibly directed paths is just a generator function for finding paths with specific features. So I think the easiest route is to first implement all_proper_pd_paths generator function, and then implement visible_edge discussed in this GH issue, and then finally implement the generator function for m_separating_sets discussed in #116
Is your feature request related to a problem? Please describe.
In causal graphs (DAG, ADMG, CPDAG, PAG, MAG), there is the notion of an edge being visible. For the DAG/ADMG/CPDAG, edges are by definition always visible.
Describe the solution you'd like
Implement function
visible_edge(graph, source, target)
to determine if the edge between source and target is visible or not.One can follow the papers https://auai.org/uai2015/proceedings/papers/155.pdf and https://www.jmlr.org/papers/volume18/16-319/16-319.pdf, and figures to use as unit-test cases.
Additional context
py-why/dowhy#402 (comment)
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