Hi,
I've noticed an issue in this work as follows:  In module create_batch.py

the negative samples are not allowed to be taken from test data. When valid_triples_dict is defined as:
self.valid_triples_dict = {j: i for i, j in enumerate(
            self.train_triples + self.validation_triples + self.test_triples)}

and later used in:

while (random_entities[current_index], self.batch_indices[last_index + current_index, 1],
                               self.batch_indices[last_index + current_index, 2]) in self.valid_triples_dict.keys():

The model is taught during training that the test data are valid triples. We are not allowed to use test data during training. This will make the performance goes higher and higher with more epochs without any good reasons.