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

the performance of using this library in python #136

Closed
Decade-rider opened this issue Oct 29, 2024 · 1 comment
Closed

the performance of using this library in python #136

Decade-rider opened this issue Oct 29, 2024 · 1 comment

Comments

@Decade-rider
Copy link

Can you please tell me how is the performance of using this library in python when I have a larger network right now, the size is roughly 200,000 nodes and 900,000 edges. And is there any advantage of this library over igraph?

@mgao97
Copy link
Collaborator

mgao97 commented Nov 21, 2024

Hi! Thanks for your interest in our project!

Regarding the performance, our library performs well with large networks and can effectively execute representative network analysis algorithms. The detailed advantages could be referred to in our paper: https://www.cell.com/patterns/pdf/S2666-3899(23)00218-0.pdf

If you have any other questions or need further assistance, please feel free to reach out to us!

@mgao97 mgao97 closed this as completed Nov 28, 2024
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