[BUG] : Provide an full example for hyperparameter optimization for graph-classification-task on a custom dataset using K-FOLD cross validation

[shrutiOx]

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• OS: [e.g. Windows 10]
• python version: [The output of cmd python -V]
• autogl version: [The output of cmd python -c 'import autogl; print(autogl.__version__)']
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[shrutiOx]

I used ''graph_cv.py'' module given in your repo to apply K-FOLD cross validation along with hyperparameter optimization for standard dataset. Although I converted my custom dataset using "InMemoryDataset" of torch_geomteric as mentioned in your website yet your module for K-FOLD cross validation (graph_cv.py) is not working for that custom dataset. Ot gives error which indicates that the code does not support this dataset. Can you please provide an example depicting a process where a custom dataset can apply HPO and K-FOLD cross validation using your tool or do I understand that it currently does not support such functions ? Thanks a lot!!

[shrutiOx]

Hi,
I do not see NAS supprt for graph classification tasks ,can you please confirm this and custom datasets could not be processed with AutoGL for graph classifications either . Can you please provide an example depicting a process where a custom dataset can apply HPO and K-FOLD cross validation using your tool or do I understand that it currently does not support such functions ? Thanks a lot!!