147 citations · 466 across the 22 of their papers we have counts for
4 papers · 1 filter
Statistical mechanics of directed networks
Marián Boguñá, M. Ángeles Serrano
Directed networks are essential for representing complex systems, capturing the asymmetry of interactions in fields such as neuroscience, transportation, and social networks. Direc…
Hyperbolic Benchmarking Unveils Network Topology-Feature Relationship in GNN Performance
Roya Aliakbarisani, Robert Jankowski, M. Ángeles Serrano +1
Graph Neural Networks (GNNs) have excelled in predicting graph properties in various applications ranging from identifying trends in social networks to drug discovery and malware d…
Renormalization of networks with weak geometric coupling
Jasper van der Kolk, Marián Boguñá, M. Ángeles Serrano
The Renormalization Group is crucial for understanding systems across scales, including complex networks. Renormalizing networks via network geometry, a framework in which their to…
Feature-aware ultra-low dimensional reduction of real networks
Robert Jankowski, Pegah Hozhabrierdi, Marián Boguñá +1
In existing models and embedding methods of networked systems, node features describing their qualities are usually overlooked in favor of focusing solely on node connectivity. Thi…