CV Lattes
ORCID
Abstract
Graph embeddings have emerged as powerful tools for representing complex networks in low-dimensional vector spaces while preserving essential topological properties. This project focuses on evaluating and comparing various graph embedding methods in their ability to maintain community structures-subsets of nodes with higher internal connectivity than external. While popular methods such a…