We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
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
RandomLinkSplit
Dear authors,
Congratulations for your very interesting work!
I was wondering whether the "Edge-wise random masking" strategy was actually equivalent to torch_geometric.transforms.RandomLinkSplit with disjoint_train_ratio > 0.
disjoint_train_ratio > 0
Thanks.
The text was updated successfully, but these errors were encountered:
Thank you @ClaudMor
"Edge-wise random masking" strategy was actually equivalent to torch_geometric.transforms.RandomLinkSplit with disjoint_train_ratio > 0.
Yes, they indeed share similar insights but differ slightly in their implementations.
Sorry, something went wrong.
No branches or pull requests
Dear authors,
Congratulations for your very interesting work!
I was wondering whether the "Edge-wise random masking" strategy was actually equivalent to torch_geometric.transforms.RandomLinkSplit with
disjoint_train_ratio > 0
.Thanks.
The text was updated successfully, but these errors were encountered: