How to predict the directional edges in a heterogeneous network?
Our input data is a table of edges (potential edges) and a list of nodes. Grouptruth is a set of edges that are known to exist.
edgetable.csv (potential edges)
dst src attr
A B AtoB
A B BtoA
A C AtoC
B D BtoD
A type2 5
B type1 3
C type1 2
D type2 5
B D negative
Our purpose is twofold:
- whether there is a relationship between two types of nodes
- how to determine their direction?
We know that RGCN/Sage might do it, but we don’t know how to design train, test and valid datasets. Could you kindly recommend relevant ideas and tutorials?