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Currently, the link prediction demo uses fixed parameter values, e.g., p=q=1 and several other parameters, for node2vec. We need to allow for these parameters to be tuned for improved link prediction performance.
User Story
As a: Research Engineer
I want: to tune the hyper-parameters of the node2vec algorithm
so that: I can achieve the highest performance in link prediction
Done Checklist (Development)
Code to tune node2vec hyper-parameters
Pull request
The text was updated successfully, but these errors were encountered:
it is only relevant as a demo notebook or just extending the node2vec example to include tuning the p,q parameters. Since tuning the parameters is something that can be done outside our library, there is nothing to implement.
Description
Currently, the link prediction demo uses fixed parameter values, e.g., p=q=1 and several other parameters, for node2vec. We need to allow for these parameters to be tuned for improved link prediction performance.
User Story
As a: Research Engineer
I want: to tune the hyper-parameters of the node2vec algorithm
so that: I can achieve the highest performance in link prediction
Done Checklist (Development)
The text was updated successfully, but these errors were encountered: