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

How to implement the GAT model to a regression problem? **Particularly the design of labels** #64

Closed
SuperBruceJia opened this issue Jun 24, 2021 · 0 comments

Comments

@SuperBruceJia
Copy link

Dear,

How can I implement the GAT model to a regression problem?

As the labels of regression task are between an interval, e.g., 0 - 100.
Can I simply connect the output of Multi-head attention with a few FC layers, and finally a single neuron, i.e., FC layer with one neuron to predict and calculate the loss between the output and label?

I'm looking forward to your early reply.

Best,

Shuyue

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

1 participant