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

Question about Small and medium model for graph classification #6

Open
Dbgsaoge opened this issue Jul 20, 2024 · 1 comment
Open

Question about Small and medium model for graph classification #6

Dbgsaoge opened this issue Jul 20, 2024 · 1 comment

Comments

@Dbgsaoge
Copy link

Hi, I am interested in your work. But I have a question about your medium_model.py; it seems that in your SpecformerMedium class, you didn't apply
```
mha_eig = self.mha_norm(eig)
mha_eig, attn = self.mha(mha_eig, mha_eig, mha_eig, key_padding_mask=e_mask)
eig = eig + self.mha_dropout(mha_eig)

    ffn_eig = self.ffn_norm(eig)
    ffn_eig = self.ffn(ffn_eig)
    eig = eig + self.ffn_dropout(ffn_eig)
     ```

the encoding process. Instead, you directly apply decoder to the EE representation. Is it the right process?

@bdy9527
Copy link
Collaborator

bdy9527 commented Oct 7, 2024

Hi, thanks for your interest!

I comment these codes for ablation studies and forget to uncomment them.

Feel free to use these codes directly.

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