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Thanks for your paper and code. I have some puzzles about OOD detection and down-weight outliers, and I hope you can help me.
The OOD detection is the classifier of graph neural networks, why is it? During the training process, the GNN classifier is trained as the classifies for each graph, so why can it ultimately be used as a detector for OOD?
I didn't find the code for down-weight outliers in the dataset drugood. I want to know how to deal with this part.
Thank you very much. I would like to receive your reply as soon as possible.
The text was updated successfully, but these errors were encountered:
Thanks for your paper and code. I have some puzzles about OOD detection and down-weight outliers, and I hope you can help me.
Thank you very much. I would like to receive your reply as soon as possible.
The text was updated successfully, but these errors were encountered: