Numerical and Categorical data To recover the missing numerical and categorical data such as dates, gender, and occupation, we use a simple feed-forward network on the entity embedding to predict the missing attributes.
we are asking the model, if the actual birth date of an entity is not in the KB, what will be the most likely date, given the rest of the relational information.