The loss function issue which is not the same as TransE

[Zarca]

Hi,
These days I have been using the out-of-box TransE algorithm come with DGL-KE , thanks for your excellent and kind work !
However, I also encountered a quesion about the loss funciton while I am tracing down to the source code about it in the:
dklke/models/general_models.py in method forward, lines between 370 and 399 as figures listed below:

It seems that it's NOT consistent with the loss function described in the paper on dgl-ke's official github homepage, as the figure showed below:

In this paper, the loss you author declared to be usued has just these 2 forms as below:

but is not the same with the implemented as I mentioned above in dgk-ke's source code,
so I'm wondering that why the source code of general_models.py has changed the loss form?
Dose it make any improvement compared with the oringinal two kind of loss function in your paper?

Looking forward your reply

[classicsong]

The adversarial sampling is in 3.3 Negative sampling in the paper.
It is not a uniform sampling.