José Suárez-Varela

65 papers A* 2A 2B 4C 1Journal 42Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Direct-to-Device Connectivity for Integrated Communication, Navigation and Surveillance.
CoRR
Muhammad Asad Ullah, Davi Brilhante, Luís Eduardo Partichelli Potrich, José Suárez-Varela, Paul Almasan, Charles Cleary, Vadim Kramar
2026 J jnl
Dual-Graph Multi-Agent Reinforcement Learning for Handover Optimization.
CoRR
Matteo Salvatori, Filippo Vannella, Sebastian Macaluso, Stylianos E. Trevlakis, Carlos Segura Perales, José Suárez-Varela, Alexandros-Apostolos A. Boulogeorgos, Ioannis Arapakis
2026 J jnl
Meta-Learning-Based Handover Management in NextG O-RAN.
IEEE J. Sel. Areas Commun.
Michail Kalntis, George Iosifidis, José Suárez-Varela, Andra Lutu, Fernando A. Kuipers
2025 A* conf
An Evaluation of RAN Sustainability Strategies in Production Networks.
INFOCOM
Orlando E. Martínez-Durive, José Suárez-Varela, Jesus Omaña Iglesias, Andra Lutu, Marco Fiore
2025 J jnl
GAT-AD: Graph Attention Networks for contextual anomaly detection in network monitoring.
Comput. Ind. Eng.
Hamid Latif-Martínez, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros
2025 J jnl
GraphCC: A practical graph learning-based approach to Congestion Control in datacenters.
Comput. Networks
Guillermo Bernárdez, José Suárez-Varela, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2025 J jnl
Meta-Learning-Based Handover Management in NextG O-RAN.
CoRR
Michail Kalntis, George Iosifidis, José Suárez-Varela, Andra Lutu, Fernando A. Kuipers
2025 J jnl
Radio Propagation Modelling: To Differentiate or To Deep Learn, That Is The Question.
CoRR
Stefanos Bakirtzis, Paul Almasan, José Suárez-Varela, Gabriel O. Ferreira, Michail Kalntis, André Felipe Zanella, Ian J. Wassell, Andra Lutu
2025 B conf
TSGFM - Graph Neural Networks for Zero-Shot Time Series Forecasting in Network Monitoring.
CNSM
Hamid Latif-Martínez, Juan Vanerio, Pedro Casas, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros
2025 — conf
TSGFM - Towards a Graph Foundation Model for Time Series Analysis in Network Monitoring.
TMA
Hamid Latif-Martínez, Pedro Casas, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros
2025 J jnl
Uncovering Issues in the Radio Access Network by Looking at the Neighbors.
CoRR
José Suárez-Varela, Andra Lutu
2024 — ed.
Proceedings of the 3rd GNNet Workshop on Graph Neural Networking Workshop, GNNet 2024, Los Angeles, CA, USA, December 9-12, 2024
GNNet@CoNEXT
Pere Barlet-Ros, Pedro Casas, Franco Scarselli, José Suárez-Varela, Albert Cabellos
2024 A conf
Through the Telco Lens: A Countrywide Empirical Study of Cellular Handovers.
IMC
Michail Kalntis, José Suárez-Varela, Jesus Omaña Iglesias, Anup Kiran Bhattacharjee, George Iosifidis, Fernando A. Kuipers, Andra Lutu
2024 J jnl
Through the Telco Lens: A Countrywide Empirical Study of Cellular Handovers.
CoRR
Michail Kalntis, José Suárez-Varela, Jesus Omaña Iglesias, Anup Kiran Bhattacharjee, George Iosifidis, Fernando A. Kuipers, Andra Lutu
2023 — conf
Detecting Contextual Network Anomalies with Graph Neural Networks.
GNNet@CoNEXT
Hamid Latif, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros
2023 J jnl
Detecting Contextual Network Anomalies with Graph Neural Networks.
CoRR
Hamid Latif-Martínez, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros
2023 — conf
Enhancing 5G Radio Planning with Graph Representations and Deep Learning.
5G-MeMZ@SIGCOMM
Paul Almasan, José Suárez-Varela, Andra Lutu, Albert Cabellos-Aparicio, Pere Barlet-Ros
2023 J jnl
Enhancing 5G Radio Planning with Graph Representations and Deep Learning.
CoRR
Paul Almasan, José Suárez-Varela, Andra Lutu, Albert Cabellos-Aparicio, Pere Barlet-Ros
2023 J jnl
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities.
IEEE Netw.
José Suárez-Varela, Paul Almasan, Miquel Ferriol-Galmés, Krzysztof Rusek, Fabien Geyer, Xiangle Cheng, Xiang Shi, Shihan Xiao, Franco Scarselli, Albert Cabellos-Aparicio, Pere Barlet-Ros
2023 J jnl
GraphCC: A Practical Graph Learning-based Approach to Congestion Control in Datacenters.
CoRR
Guillermo Bernárdez, José Suárez-Varela, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2023 J jnl
MAGNNETO: A Graph Neural Network-Based Multi-Agent System for Traffic Engineering.
IEEE Trans. Cogn. Commun. Netw.
Guillermo Bernárdez, José Suárez-Varela, Albert López, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2023 J jnl
MAGNNETO: A Graph Neural Network-based Multi-Agent system for Traffic Engineering.
CoRR
Guillermo Bernárdez, José Suárez-Varela, Albert López, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2023 — ed.
Proceedings of the 2nd on Graph Neural Networking Workshop 2023, GNNet 2023, Paris, France, 8 December 2023
GNNet@CoNEXT
Pere Barlet-Ros, Pedro Casas, Franco Scarselli, José Suárez-Varela, Albert Cabellos
2023 J jnl
RouteNet-Fermi: Network Modeling With Graph Neural Networks.
IEEE/ACM Trans. Netw.
Miquel Ferriol-Galmés, Jordi Paillisse, José Suárez-Varela, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022 J jnl
Building a Digital Twin for network optimization using Graph Neural Networks.
Comput. Networks
Miquel Ferriol-Galmés, José Suárez-Varela, Jordi Paillisse, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022 J jnl
Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case.
Comput. Commun.
Paul Almasan, José Suárez-Varela, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022 J jnl
Digital Twin Network: Opportunities and Challenges.
CoRR
Paul Almasan, Miquel Ferriol-Galmés, Jordi Paillisse, José Suárez-Varela, Diego Perino, Diego R. López, Antonio Agustin Pastor Perales, Paul Harvey, Laurent Ciavaglia, Leon Wong, Vishnu Ram, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
2022 B conf
Exploring the Limitations of Current Graph Neural Networks for Network Modeling.
NOMS
Martin Happ, Jia Lei Du, Matthias Herlich, Christian Maier, Peter Dorfinger, José Suárez-Varela
2022 B conf
Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing.
CNSM
Krzysztof Rusek, Paul Almasan, José Suárez-Varela, Piotr Cholda, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022 J jnl
Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing.
CoRR
Krzysztof Rusek, Paul Almasan, José Suárez-Varela, Piotr Cholda, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022 J jnl
Network Digital Twin: Context, Enabling Technologies and Opportunities.
CoRR
Paul Almasan, Miquel Ferriol-Galmés, Jordi Paillisse, José Suárez-Varela, Diego Perino, Diego R. López, Antonio Agustin Pastor Perales, Paul Harvey, Laurent Ciavaglia, Leon Wong, Vishnu Ram, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
2022 J jnl
Network Digital Twin: Context, Enabling Technologies, and Opportunities.
IEEE Commun. Mag.
Paul Almasan, Miquel Ferriol-Galmés, Jordi Paillisse, José Suárez-Varela, Diego Perino, Diego R. López, Antonio Agustin Pastor Perales, Paul Harvey, Laurent Ciavaglia, Leon Wong, Vishnu Ram, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
2022 A* conf
RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation.
INFOCOM
Miquel Ferriol-Galmés, Krzysztof Rusek, José Suárez-Varela, Shihan Xiao, Xiang Shi, Xiangle Cheng, Bo Wu, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022 J jnl
RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation.
CoRR
Miquel Ferriol-Galmés, Krzysztof Rusek, José Suárez-Varela, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022 J jnl
RouteNet-Fermi: Network Modeling with Graph Neural Networks.
CoRR
Miquel Ferriol-Galmés, Jordi Paillisse, José Suárez-Varela, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022 J jnl
Unveiling the potential of Graph Neural Networks for robust Intrusion Detection.
SIGMETRICS Perform. Evaluation Rev.
David Pujol-Perich, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros
2021 J jnl
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities.
CoRR
José Suárez-Varela, Paul Almasan, Miquel Ferriol-Galmés, Krzysztof Rusek, Fabien Geyer, Xiangle Cheng, Xiang Shi, Shihan Xiao, Franco Scarselli, Albert Cabellos-Aparicio, Pere Barlet-Ros
2021 J jnl
IGNNITION: Bridging the Gap Between Graph Neural Networks and Networking Systems.
CoRR
David Pujol-Perich, José Suárez-Varela, Miquel Ferriol, Shihan Xiao, Bo Wu, Albert Cabellos-Aparicio, Pere Barlet-Ros
2021 J jnl
IGNNITION: Bridging the Gap between Graph Neural Networks and Networking Systems.
IEEE Netw.
David Pujol-Perich, José Suárez-Varela, Miquel Ferriol, Shihan Xiao, Bo Wu, Albert Cabellos-Aparicio, Pere Barlet-Ros
2021 — conf
IGNNITION: fast prototyping of graph neural networks for communication networks.
SIGCOMM Posters and Demos
David Pujol-Perich, José Suárez-Varela, Miquel Ferriol-Galmés, Bo Wu, Shihan Xiao, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
2021 B conf
Is Machine Learning Ready for Traffic Engineering Optimization?
ICNP
Guillermo Bernárdez, José Suárez-Varela, Albert López, Bo Wu, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2021 J jnl
Is Machine Learning Ready for Traffic Engineering Optimization?
CoRR
Guillermo Bernárdez, José Suárez-Varela, Albert López, Bo Wu, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2021 J jnl
Scaling Graph-based Deep Learning models to larger networks.
CoRR
Miquel Ferriol-Galmés, José Suárez-Varela, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio
2021 J jnl
The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks.
CoRR
José Suárez-Varela, Miquel Ferriol-Galmés, Albert López, Paul Almasan, Guillermo Bernárdez, David Pujol-Perich, Krzysztof Rusek, Loïck Bonniot, Christoph Neumann, François Schnitzler, François Taïani, Martin Happ, Christian Maier, Jia Lei Du, Matthias Herlich, Peter Dorfinger, Nick Vincent Hainke, Stefan Venz, Johannes Wegener, Henrike Wissing, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
2021 J jnl
The graph neural networking challenge: a worldwide competition for education in AI/ML for networks.
Comput. Commun. Rev.
José Suárez-Varela, Miquel Ferriol-Galmés, Albert López, Paul Almasan, Guillermo Bernárdez, David Pujol-Perich, Krzysztof Rusek, Loïck Bonniot, Christoph Neumann, François Schnitzler, François Taïani, Martin Happ, Christian Maier, Jia Lei Du, Matthias Herlich, Peter Dorfinger, Nick Vincent Hainke, Stefan Venz, Johannes Wegener, Henrike Wissing, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
2021 C conf
Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges.
HPSR
Paul Almasan, José Suárez-Varela, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
2021 J jnl
Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges.
CoRR
Paul Almasan, José Suárez-Varela, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
2021 J jnl
Unveiling the potential of Graph Neural Networks for robust Intrusion Detection.
CoRR
David Pujol-Perich, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros
2020 J jnl
Applying Graph-based Deep Learning To Realistic Network Scenarios.
CoRR
Miquel Ferriol-Galmés, José Suárez-Varela, Pere Barlet-Ros, Albert Cabellos-Aparicio
2020 J jnl
RouteNet: Leveraging Graph Neural Networks for Network Modeling and Optimization in SDN.
IEEE J. Sel. Areas Commun.
Krzysztof Rusek, José Suárez-Varela, Paul Almasan, Pere Barlet-Ros, Albert Cabellos-Aparicio
2019 — conf
Challenging the generalization capabilities of Graph Neural Networks for network modeling.
SIGCOMM Posters and Demos
José Suárez-Varela, Sergi Carol-Bosch, Krzysztof Rusek, Paul Almasan, Marta Arias, Pere Barlet-Ros, Albert Cabellos-Aparicio
2019 J jnl
Deep Reinforcement Learning meets Graph Neural Networks: An optical network routing use case.
CoRR
Paul Almasan, José Suárez-Varela, Arnau Badia-Sampera, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio
2019 — conf
Detecting cryptocurrency miners with NetFlow/IPFIX network measurements.
M&N
Jordi Zayuelas i Muñoz, José Suárez-Varela, Pere Barlet-Ros
2019 — conf
Feature Engineering for Deep Reinforcement Learning Based Routing.
ICC
José Suárez-Varela, Albert Mestres, Junlin Yu, Li Kuang, Haoyu Feng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2019 J jnl
RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN.
CoRR
Krzysztof Rusek, José Suárez-Varela, Paul Almasan, Pere Barlet-Ros, Albert Cabellos-Aparicio
2019 — conf
Routing Based on Deep Reinforcement Learning in Optical Transport Networks.
OFC
José Suárez-Varela, Albert Mestres, Junlin Yu, Li Kuang, Haoyu Feng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2019 J jnl
Routing in optical transport networks with deep reinforcement learning.
JOCN
José Suárez-Varela, Albert Mestres, Junlin Yu, Li Kuang, Haoyu Feng, Albert Cabellos-Aparicio, Pere Barlet-Ros
2019 — conf
Towards more realistic network models based on Graph Neural Networks.
CoNEXT Companion
Arnau Badia-Sampera, José Suárez-Varela, Paul Almasan, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio
2019 — conf
Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN.
SOSR
Krzysztof Rusek, José Suárez-Varela, Albert Mestres, Pere Barlet-Ros, Albert Cabellos-Aparicio
2019 J jnl
Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN.
CoRR
Krzysztof Rusek, José Suárez-Varela, Albert Mestres, Pere Barlet-Ros, Albert Cabellos-Aparicio
2018 J jnl
Flow monitoring in Software-Defined Networks: Finding the accuracy/performance tradeoffs.
Comput. Networks
José Suárez-Varela, Pere Barlet-Ros
2018 — conf
SBAR: SDN flow-Based monitoring and Application Recognition.
SOSR
José Suárez-Varela, Pere Barlet-Ros
2018 — conf
Towards accurate classification of HTTPS traffic in Software-Defined Networks.
I2MTC
José Suárez-Varela, Pere Barlet-Ros
2017 J jnl
Reinventing NetFlow for OpenFlow Software-Defined Networks.
CoRR
José Suárez-Varela, Pere Barlet-Ros
2017 A conf
Towards a NetFlow Implementation for OpenFlow Software-Defined Networks.
ITC
José Suárez-Varela, Pere Barlet-Ros