Request for Example Code: Clustering Task on Heterogeneous Graphs with HANConv or Similar Models

[zr-swu]

🚀 The feature, motivation and pitch

Description
Dear PyG Team,

I would like to request an example code for performing clustering tasks on heterogeneous graphs using HANConv or other suitable models in the PyG library. I am currently working on a research project where clustering on heterogeneous data is a crucial step, and I believe that an example showcasing how to effectively utilize HANConv or other PyG models for clustering would be incredibly beneficial.

While I understand that PyG provides many great tutorials for node classification, link prediction, and related tasks on heterogeneous graphs, I am particularly interested in a clustering application. Such an example would help clarify best practices for using PyG models in unsupervised tasks on heterogeneous graphs, especially when working with complex structures like those in HANConv.

Thank you very much for considering this request, and I look forward to any guidance or support you can provide.

Warm regards。