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

Train on custom dataset #20

Closed
zhenzey opened this issue Jan 7, 2023 · 3 comments
Closed

Train on custom dataset #20

zhenzey opened this issue Jan 7, 2023 · 3 comments

Comments

@zhenzey
Copy link

zhenzey commented Jan 7, 2023

Thanks for sharing the code! I was wondering whether it is possible to train the diffusion model on our own graph dataset? If so, can you provide an example?

@tuln128
Copy link

tuln128 commented Jan 25, 2023

Hello @zhenzey
I have not tried the whole process yet, but I think you can follow the instructions on preparing the GEOM-Drugs dataset (https://github.com/ehoogeboom/e3_diffusion_for_molecules/tree/main/data/geom) to figure out how to make customized data usable in the framework.
Hope it helps,

@sevencheung2021
Copy link

Thanks for sharing the code! I was wondering whether it is possible to train the diffusion model on our own graph dataset? If so, can you provide an example?

Hello, I also want to train on my own dataset, I would like to know if you have succeeded in training this model on your own dataset?

@ehoogeboom
Copy link
Owner

Definitely possible, should not be crazy complicated. Unfortunately I don't have time to write supporting code/documentation for this.

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

4 participants