3 papers
physics.soc-ph2024
Renormalization of networks with weak geometric coupling
Jasper van der Kolk, Marián Boguñá, M. Ãngeles 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…
physics.soc-ph2024
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…
cs.LG2024
Hyperbolic Benchmarking Unveils Network Topology-Feature Relationship in GNN Performance
Roya Aliakbarisani, Robert Jankowski, M. Ãngeles 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…