Fabrizio Silvestri

Efficient Recommendations via Graph Coarsening and Label Propagation

This work proposes a flexible two-stage diffusion framework that combines graph coarsening with multi-step label propagation in the telecommunications domain and demonstrates that this coarsening-driven approach delivers an optimal balance between scalability, latency, and recommendation quality.