Looking for more detailed tutorials

I am trying to implement some Graph neural network models for recommender systems on my data-set. I want to start with some basic and detailed implementations on the movielens dataset. I am really interested in the DGL package, however I have a look on the current provided tutorials on DGL website and github repos, but those notebooks tutorials are quite brief for me (it not very detailed in how to transform the dataset to graph-data or the prediction after we have train our models, or some fine tuning stages). Could anyone tell me are there any section of the DGL website that I could visit or other places that got the detailed tutorial I am looking for?
Thanks in advance,

All the tutorials are under the doc page and https://github.com/dglai.