Heterogeneous graph learning [Advanced PyTorch Geometric Tutorial 4]

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We have discussed Heterogeneous Graphs Learning.
In particular, we show how Heterogeneous Graphs in Pytorch Geometric are loaded and their properties.

Finally, we show an example on a dataset.

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Where could we find the accompanying collab notebook like with the other lessons?

Josuemaga
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Thanks a lot for the video. Can you please share the notebook? I copied the one you wrote in the comments and it did not work.

IrlanGrangel
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Can a nodetype .y be configured on more than one node type, so it would be possible to predict targets for multiple node types?

pedroviniciuspereirajunho
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Although we have label only available for author node, can we also make label prediction for paper nodes?

hardikgupta
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So if I have multiple small graph, I need a node-to-graph-id dict right, but where do I feed it to heterodata

nipunachhabra
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@94longa2112 Are you able to upload notebook 4? The others exist but not this one. The community would appreciate it.

RollingcoleW
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Hey there is no note book for tutorial 4

PradeepKumar-zycd
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