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I think this is doable. Whether PyG is the right tool for the given job depends though on whether there exists a graph. If you just have single flattened features of a user, there is no need to use PyG. |
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I have a problem statement. I take a few inputs from the user, for example, I take "feature_a" and "feature_b" as input from the user. Now based on "feature_a", and "feature_b" I show options for "feature_3" and let the user select a few options. After selecting a few options from "feature_3" I suggest options for "feature_4" based on "featur_1", "feature_2", and "feature_3" variables. After the user selects a few options from "feature_4" Now my data looks like this
"feature_1", "featue_2", "feature_3", "feature_4"
Now based on all these features I predict a class.
Can I solve this problem with Pytorch Geometric?
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