José Suárez‐Varela

Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case

Paul Almasan, José Suárez‐Varela, Krzysztof Rusek et al. · Computer Communications · 2022 · 207 citations · Full text

Artificial Intelligence, Engineering, Graph Theory +11

Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN

Krzysztof Rusek, José Suárez‐Varela, Albert Mestres et al. · 2019 · 205 citations · Full text

Effective Use, Engineering, Network Routing +22

Network digital twin: context, enabling technologies, and opportunities

Paul Almasan, Miquel Ferriol-Galmés, Jordi Paillissé et al. · QRU Quaderns de Recerca en Urbanisme · 2022 · 147 citations · Full text

Autonomous Network, Engineering, Machine Learning +21

Architecture Dependence on the Steric Constrains of the Ligand in Cyano-Bridged Copper(I) and Copper(II)−Copper(I) Mixed-Valence Polymer Compounds Containing Diamines:  Crystal Structures and Spectroscopic and Magnetic Properties

Enrique Colacio, Raikko Kivekäs, Francesc Lloret et al. · Inorganic Chemistry · 2002 · 115 citations

Unveiling the potential of Graph Neural Networks for robust Intrusion Detection

David Pujol-Perich, José Suárez‐Varela, Albert Cabellos‐Aparicio et al. · ACM SIGMETRICS Performance Evaluation Review · 2022 · 95 citations

Engineering, Machine Learning, Information Security +21