Da Zheng

The Python API is mainly defined for users to invoke KGE training in the Notebook environment. It doesn’t support distributed training. ## Load Data ```python # Load builtin datasets kg...

I shared the API we defined a few months ago, but we didn't get time to implement them. I would like to share it with the community and ask for...

@AlexMRuch please feel free to open another ticket to discuss the evaluation API.

1. The Python API will require users to call `model.save()` to save models explicitly. I think what the confusion was. I have moved `save()` after `fit()`. Hopefully, it's clearer now....

`lr_finder` seems useful. I think we'll include it in a future release. I was reading how to pick the right learning rate (but for a very different purpose) and came...

Currently, DGL-KE doesn't support training from previously trained embeddings. We'll support this in our next release.

Thanks for the feature request. This is definitely something we should support. DGL-KE does joint negative sampling for efficiency. That is, instead of creating negative edges for each positive edge...

@asaluja I agree that the two-stage procedure will work and it's something I have in mind as well. The main thing we need to take care of is how to...

This was caused by a bug in resizing SAFS files. ``` commit a9de2133c2e4a9a1f07236a3111a7416f6eadd45 Author: Da Zheng Date: Mon Feb 6 21:47:36 2017 -0500 [SAFS]: fix a bug of resizing an...

the problem is caused by resizing SAFS file. However, the previous commit doesn't really fix the problem.