Possible issue with model evaluation when using datasets with inverse triples about pykeen HOT 1 OPEN

Hi @martytom ,

if you train a model on a dataset that uses inverse relations that has an effect on the model:

• the model will have twice as many relation representations
• the model will convert any head prediction $(?, r, t)$ to inverse tail prediction, i.e., $(t, r^{-1}, ?)$

Thus, the evaluation results are expected to be different since you are evaluating a different model on the same evaluation dataset.

You can verify that the two models are different by, e.g., looking at their string-representation.

from pykeen.