Which one is best for link prediction in sparse ( very low density ) bipartite networks?

01 January 1970 0 7K Report

In your opinion what is the best approach for link prediction in sparse bipartite networks?

1. Unsupervised approaches ( Such as Similarity Indices )

2. Supervised approaches

3. another ways

If your choice is 1 please point the best method and if your choice is 2 point your best way for feature engineering and if your choice is 3 please explain more.

Seems that it will be a good discussion. ;)

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