training detail and result

[troy0215]

Hello, i implement you paper in Pytorch and there are some problems.

1. How to process one entity is involved in tow succesive events when computing happened term loss? I compute in following way, is that correct?
   -log(t - t_bar+1e-5) +log(1e-5)
2. I found the negtive log loss oscillated not decreased. And i saw the training result pictures in one issue before under this repository, the nll he displayed didn't decrease, too.
   Do you only care about the MAR and Hits@10 outperformance other baseline model, not consider the convergence of algorithm?

3. I can't run your code, so do you remeber the training time when run your code? My code seems time comsuming...
   Thank you

[CaiWZ]

hello, if you implement paper in Pytorch, i don't know if you can share it with me ! thanks a lot!!