You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I am exploring using this for training TransE embeddings had some beginner questions:
Have been using Pytorch BigGraph , single box mode - For TransE did anybody do a benchmarking of quality on standard datasets , what are the key differences between the two frameworks ?
I want to run incremental training, ie; once I have trained embeddings and graph gets updated, only retrain for the new nodes to avoid volatility of existing embeddings. Is there a way to do that here?
Can I run this for a graph with 100 million edges , that fit into a single box ?
I am starting dig into the docs to understand the framework better, so apologies for if some these questions are already covered in the docs.
The text was updated successfully, but these errors were encountered:
I am exploring using this for training TransE embeddings had some beginner questions:
I am starting dig into the docs to understand the framework better, so apologies for if some these questions are already covered in the docs.
The text was updated successfully, but these errors were encountered: