how do i know the direction of edges?

[wangjianqiao111]

i use castle.algorithms PC get the causal_matrix:
[[0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[0 1 0 1 1 0 0 1 0 0 0 1 0 0 0 0 0 0]
[0 1 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0]
[0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0]
[0 1 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0]
[0 1 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0]
[0 1 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0]
[0 1 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0]
[0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0]
[0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0]
[0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1]
[0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0]
[0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0]
[0 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 1]
[0 1 0 0 0 0 0 0 0 1 0 0 0 0 1 1 0 0]
[0 1 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0]]
how do i know the Direction of edges?

[VineetMalik14]

A non-zero entry $i$, $j$ corresponds to an edge from $i$ to $j$. For example in your causal matrix, $matrix[0,1]=1$, meaning an edge from $0$ to $1$. If both $matrix[i,j]$ and $matrix[j,i]$ are $1$, it corresponds to an undirected edge between $i$ and $j$.

[cloudy-sfu]

Helpful.

Suggest to add x-axis and y-axis labels in figures created by GraphDAG. Many other research uses the causal matrix of transposed meaning. It's better to claim it clearly.