33 citations · 34 across the 4 of their papers we have counts for
4 papers
Interpreting Manifolds and Graph Neural Embeddings from Internet of Things Traffic Flows
Enrique Feito-Casares, Francisco M. Melgarejo-Meseguer, Elena Casiraghi +2
The rapid expansion of Internet of Things (IoT) ecosystems has led to increasingly complex and heterogeneous network topologies. Traditional network monitoring and visualization to…
Hybrid Quantum-Classical Walks for Graph Representation Learning in Community Detection
Adrián Marın, Mauricio Soto-Gomez, Giorgio Valentini +3
Graph Representation Learning (GRL) has emerged as a cornerstone technique for analysing complex, networked data across diverse domains, including biological systems, social networ…
RNA-KG: An ontology-based knowledge graph for representing interactions involving RNA molecules
Emanuele Cavalleri, Alberto Cabri, Mauricio Soto-Gomez +9
The "RNA world" represents a novel frontier for the study of fundamental biological processes and human diseases and is paving the way for the development of new drugs tailored to…
GRAPE for Fast and Scalable Graph Processing and random walk-based Embedding
Luca Cappelletti, Tommaso Fontana, Elena Casiraghi +8
Graph Representation Learning (GRL) methods opened new avenues for addressing complex, real-world problems represented by graphs. However, many graphs used in these applications co…