evaluate and compare different graph embeddings
SalvatoreRa opened this issue · comments
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?
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?