most citedImproving Graph Embeddings in Machine Learning Using Knowledge Completion with Validation in a Case Study on COVID-19 Spread

2 citations · 5 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DC2026★ 1 cited

Knowledge Graphs-Driven Intelligence for Distributed Decision Systems

Rosario Napoli, Gabriele Morabito, Antonio Celesti +2

Modern distributed decision-making systems face significant challenges arising from data heterogeneity, dynamic environments, and the need for decentralized coordination. This pape…

cs.DB2026★ 1 cited

How to evaluate NoSQL Database Paradigms for Knowledge Graph Processing

Rosario Napoli, Antonio Celesti, Massimo Villari +1

Knowledge Graph (KG) processing faces critical infrastructure challenges in selecting optimal NoSQL database paradigms, as traditional performance evaluations rely on static benchm…

cs.LG2025

Bi-View Embedding Fusion: A Hybrid Learning Approach for Knowledge Graph's Nodes Classification Addressing Problems with Limited Data

Rosario Napoli, Giovanni Lonia, Antonio Celesti +2

Traditional Machine Learning (ML) methods require large amounts of data to perform well, limiting their applicability in sparse or incomplete scenarios and forcing the usage of add…

cs.LG2025★ 2 cited

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…

cs.NI2025

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…

cs.DB2025★ 1 cited

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…