You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hello there,
First of all, thank you for providing such an amazing work.
I'd like to know how can I leverage graphtransformer on Graph Classification task with textual data, for instance, I first extract nodes and edge info from the text data, given node features and edge information (only one type of edge in my case), the model generate binary targets based on those given features.
Kind Regards
Michael
The text was updated successfully, but these errors were encountered:
For graph classification, you may follow the codes of ZINC. For ZINC, it predicts 1 label for the value being regressed. You may change the loss functions for your case.
To prepare DGL graphs to be compatible with this code base, you can prepare your data following similar code as that of ZINC, for instance.
Hello there,
First of all, thank you for providing such an amazing work.
I'd like to know how can I leverage graphtransformer on Graph Classification task with textual data, for instance, I first extract nodes and edge info from the text data, given node features and edge information (only one type of edge in my case), the model generate binary targets based on those given features.
Kind Regards
Michael
The text was updated successfully, but these errors were encountered: