I am a total beginner when it comes to practical ML programming, so bear with me.
I want to work with the Cora citation dataset and have used some features I was able to get via networkx to add to the existing word vectors that Cora provides. Now I want to use Node2Vec to add to that aswell.
My problem: I can not for the life of me figure out how it works and where I can get the features. All I have is examples of running Node2Vec in its own training loop, which is not what I want. I want to use my existing GCN and add the Node2Vec features to train with them.
Can anyone here help me out? :)