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

Is there a webqsp dataset of 10%, 30%, 50% KG after preprocessing? #9

Open
firwww opened this issue Sep 1, 2023 · 4 comments
Open

Comments

@firwww
Copy link

firwww commented Sep 1, 2023

Is there a webqsp dataset of 10%, 30%, 50% KG after preprocessing?

@cmavro
Copy link
Owner

cmavro commented Sep 3, 2023

Hi,

Thank you for your interest in our work. We use the incomplete KGs as processed in the Graftnet repo; we downloaded the KGs from there.

@firwww
Copy link
Author

firwww commented Sep 3, 2023

Thank you for your answer, do you have a webquestion training log under 50KG, I am difficult to reproduce your results, are the parameters of this experiment the same as the full KG

@firwww
Copy link
Author

firwww commented Sep 4, 2023

How to set up a 50KG metaqa? is for i, tpl in enumerate(sample['subgraph']['tuples']):
if i % 2 == 0: continue
or
--fact_drop=0.5?
or both?please!

@cmavro
Copy link
Owner

cmavro commented Sep 10, 2023

As far as I recall, we performed hyper-parameter tuning for the incomplete KGs (I have not saved the log files).

For MetaQA, please use if i % 2 == 0: continue.

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