2 citations · 3 across the 3 of their papers we have counts for
3 papers
Improving Graph Embeddings in Machine Learning Using Knowledge Completion with Validation in a Case Study on COVID-19 Spread
Rosario Napoli, Gabriele Morabito, Antonio Celesti +2
The rise of graph-structured data has driven major advances in Graph Machine Learning (GML), where graph embeddings (GEs) map features from Knowledge Graphs (KGs) into vector space…
A Bio-Inspired Leader-based Energy Management System for Drone Fleets
Rosario Napoli, Antonio Celesti, Massimo Villari +1
Drones are embedded systems (ES) used across a wide range of fields, from photography to shipments and even during crisis management for searching, rescuing and damage assessment a…
Unlocking Advanced Graph Machine Learning Insights through Knowledge Completion on Neo4j Graph Database
Rosario Napoli, Antonio Celesti, Massimo Villari +1
Graph Machine Learning (GML) with Graph Databases (GDBs) has gained significant relevance in recent years, due to its ability to handle complex interconnected data and apply ML tec…