Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

GNN Models #118

Closed
snash4 opened this issue Jun 23, 2020 · 4 comments
Closed

GNN Models #118

snash4 opened this issue Jun 23, 2020 · 4 comments

Comments

@snash4
Copy link

snash4 commented Jun 23, 2020

Hi,
Thanks for sharing this library for distributed training.
Is there any plan to add GNN models such as RGCN?
What needs to be done to add GNN models and train them in a distributed environment.

Thanks

@zheng-da
Copy link
Contributor

Yes, adding GNN models for embeddings is in our roadmap. Currently, we are working on distributed training capabilities in DGL and we are implementing an efficient RGCN in DGL. Once we have these two ready, we'll move the RGCN model in DGL-KE.

@snash4
Copy link
Author

snash4 commented Jun 24, 2020

Thanks for the response.
What is the possible date of release of DGL with distributed computing capabilities?
Further, can I have some more details on the distributed computing side of DGL, such as which distributed framework will be used in DGL?
Thanks

@zheng-da
Copy link
Contributor

The distributed training capability will be released with DGL 0.5. The planned release date is the end of July.
We didn't put any design documentation yet. DGL builds its own distributed framework.

@snash4
Copy link
Author

snash4 commented Jun 25, 2020

Thanks, eagerly waiting for the release.
Would love to contribute.

@snash4 snash4 closed this as completed Jun 25, 2020
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants