Skip to content

Why using cosine to calculate loss instead of the squared error? #17

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.

Sign up for GitHub

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

Jump to bottom
Open
zhaoqf123 opened this issue Dec 19, 2023 · 0 comments
Open

Why using cosine to calculate loss instead of the squared error? #17

zhaoqf123 opened this issue Dec 19, 2023 · 0 comments

Comments

@zhaoqf123
Copy link

Thank you for your excellent work!

May I know why you use cosine similarity to calculate loss instead of the squared error as in the paper PRE-TRAINING VIA DENOISING FOR MOLECULAR PROPERTY PREDICTION?
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
1 participant
@zhaoqf123