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I recently came across this package and really like it thus far, I think your API is one of the best implementations I've seen around graph training!
I was wondering if support for very large graph training is on your roadmap at all similar to what Pytorch biggraph does with its partitioning and distributed training. This API with that kind of support could be really useful for large graph embedding training.
Thanks and well done again on a great package.
The text was updated successfully, but these errors were encountered:
Hi, thanks a lot for your support. Always a pleasure to know that TorchKGE is useful to people.
I already thought about that and I reckon that a support/implementation of PBG would be a super nice feature to have. I just haven't had the need justifying to invest time in doing so. Feel free to contribute if you feel like this feature could be useful in your work.
Hi there,
I recently came across this package and really like it thus far, I think your API is one of the best implementations I've seen around graph training!
I was wondering if support for very large graph training is on your roadmap at all similar to what Pytorch biggraph does with its partitioning and distributed training. This API with that kind of support could be really useful for large graph embedding training.
Thanks and well done again on a great package.
The text was updated successfully, but these errors were encountered: