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

About the size of the input graph #23

Closed
code-gamer opened this issue Oct 14, 2023 · 3 comments
Closed

About the size of the input graph #23

code-gamer opened this issue Oct 14, 2023 · 3 comments

Comments

@code-gamer
Copy link

Although you said that your method support large size graph in your paper, I tested it on a graph with about 10, 000 nodes, the program was terminated while running because it exceeded the system memory. However, the memory of the server is 128G,so where might the problem lie?

@jwzhanggy
Copy link
Owner

you can change the code to use mini-batch instead

@code-gamer
Copy link
Author

you can change the code to use mini-batch instead

Thanks for your reply, I'll try first.

@code-gamer
Copy link
Author

you can change the code to use mini-batch instead
Sorry to bother you again. This issue happened when I try to use DatasetLoader.py to generate intimacy matrix "S", but isn’t mini-batch used in the model training process?

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