Details about training pre-trained embeddings using TransE

[izuna385]

Thanks for developing/opening code.
I have a question about the original paper.

In the original paper,

To be specific, we sample part of Wikidata which contains 5, 040, 986 entities and 24, 267, 796 fact triples.

Is there any plan for giving description about sampling facts and training embeddings?
For example, how long it takes, how to tune, and so on.

[zzy14]

According to the entities occurring in the pre-training corpus, we sample a subgraph which consists of these entities. Then, we use TransE to train these embeddings which takes about several hours with 8 CPUs.

[izuna385]

Thanks.