evaluate and compare different graph embeddings

[Salvatore Raieli]

Hi,

I have check the documentation and th repository but I have not found evaluation metrics to evaluate the quality of the embeddings. I have seen that embedding can be used for classification and thus running on it a classifier is a way to check if the embedding is informative or not. however, not always you have ground truth value and would be it better to have some quality metrics.

I have seen in different articles that they are using Man Average Precision or reconstruction error to evaluate the quality of embeddings.

There are metrics implemented or planned to be implemented?

[Benedek Rozemberczki]

You can formulate a link prediction problem every time if that makes sense. Do you know what I mean @SalvatoreRa ? Can you star the repo?