4. The computer-implemented method of claim 3 , wherein establishing each function corresponding to each multinomial distribution includes establishing a summation of products of f utl and f vtl over the type-specific subset of the possible attribute labels of the label type t, f utl representing a variable probability that the user node has an attribute label (“l”) of the label type t and f vtl representing a probability that the directly connected node v has the same attribute label l of the label type t.
4. The computer-implemented method of claim 3 , wherein establishing each function corresponding to each multinomial distribution includes establishing a summation of products of f utl and f vtl over the type-specific subset of the possible attribute labels of the label type t, f utl representing a variable probability that the user node has an attribute label (“l”) of the label type t and f vtl representing a probability that the directly connected node v has the same attribute label l of the label type t. 8. The computer-implemented method of claim 4 , wherein generating each equation corresponding to the explainability score of the directly connected node v is based on taking a softmax operation on the multiple functions corresponding to the multinomial distributions associated with the directly connected node v, the multiple functions being arguments to the softmax operation.