Graph with homogeneous graph with multiple node features, multiple edge types, and edge weights to apply dual embedding

Dear all,

I want to create a graph with homogeneous graph with multiple node features, multiple edge types, and edge weights to apply dual embedding (https://assets.amazon.science/d6/56/d03a00d14fd39c3486614e611e51/recommending-related-products-using-graph-neural-networks-in-directed-graphs.pdf).
e.g. directional graph, node = product, edge types = {co-view, co-purchase}, node feature = 256 dim, edge weight = (0, 1)

What is your suggestion for the graph creation? Could you please share similar example?

Thank you in advance for your help.

Best regards,
junhykim

Here is an API for converting heterogeneous graphs into homogeneous graphs. After that, you can use RGCN for message passing.

1 Like

Thank you for understanding modeling process!

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