Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction

Riccardo Milocco, Fabian Jansen, Diego Garlaschelli

In machine learning, graph embedding algorithms seek low-dimensional representations of the input network data, thereby allowing for downstream tasks on compressed encodings. Recen…