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

Tensorflow2 implementation #6

Open
YeolYao opened this issue Oct 20, 2022 · 3 comments
Open

Tensorflow2 implementation #6

YeolYao opened this issue Oct 20, 2022 · 3 comments

Comments

@YeolYao
Copy link

YeolYao commented Oct 20, 2022

Hello, thank you for this great paper and great implementation! As Tensorflow has upgraded to version 2, I was wondering if you by any chance changed this model to Tensorflow2 as well?

@leuchine
Copy link
Collaborator

Hi,

Thanks for your interest. However, this repo is not actively maintained anymore. It is better to use the older version of tensorflow. Otherwise, some functions may be broken.

@YeolYao
Copy link
Author

YeolYao commented Nov 11, 2022

Hello, I have some questions to ask. I noticed in your paper you said that the model only considers undirected graphs, is it possible to extend it to directed graphs? The current model is used for molecular graph generation, so the node features and edge features are only onehot, is it possible to extend other numerical features? Looking forward to your reply, Thanks a lot!

@leuchine
Copy link
Collaborator

leuchine commented Nov 12, 2022

Hi,

Extending to directed graphs is easy. Need to maintain the direction of edges during expansion.

Using numerical features and edge features is not a problem. But I think it requires a network to output continuous values instead of performing a classification in the code

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