I need some suggestions for my graph problem.
I have a graph with nodes that represent words. I have labelled all the nodes with 5 categories/classes and each node is also annotated with some features (e.g. a number of letters, numerics, and symbols, size of fonts, etc). All the edges in my graph are labelled with some weight too.
My question is, how can I create a model to learn/extract characteristics (or relationship) between categories/classes in my graph?
So that if I have an unlabelled graph, the model can predict which node belongs to which classes.
A simple line of codes/flowchart as an example can hugely help me too.
Thanks a lot all and sorry if this seems trivial for some of you.