Implementation of "Node Similarity Measures"

[lettlini]

🚀 The feature, motivation and pitch

I recently came across the paper A Survey on Oversmoothing in Graph Neural Networks and thougt that having a ready-to-use implementation of the Dirichlet energy and the Mean Average Distance would make diagnosing oversmoothing much easier.

Alternatives

I saw that PairNorm has been implemented but I think it'd be nice to be able to quantitatively examine the behavior of node similarity (at least for academic & research purposes).

Additional context

If this is something people would find useful if it was included in pytorch_geometric I could work on this.

Edit: Corrected paper link