José Suárez-Varela

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 50

Top Topics

Graph Representations

Traffic Engineering

Reinforcement Learning

Hopfield Networks

Top Venues

SIGCOMM Posters and Demos

Comput. Networks

Publications

Paul Almasan, José Suárez-Varela, Andra Lutu, Albert Cabellos-Aparicio, Pere Barlet-Ros
Enhancing 5G Radio Planning with Graph Representations and Deep Learning. 5G-MeMZ@SIGCOMM (2023)
Hamid Latif-Martínez, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros
Detecting Contextual Network Anomalies with Graph Neural Networks. CoRR (2023)
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
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. IEEE Netw. 37 (3) (2023)
Paul Almasan, José Suárez-Varela, Andra Lutu, Albert Cabellos-Aparicio, Pere Barlet-Ros
Enhancing 5G Radio Planning with Graph Representations and Deep Learning. CoRR (2023)
Miquel Ferriol Galmés, Jordi Paillisse, José Suárez-Varela, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
RouteNet-Fermi: Network Modeling With Graph Neural Networks. IEEE/ACM Trans. Netw. 31 (6) (2023)
Guillermo Bernárdez, José Suárez-Varela, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
GraphCC: A Practical Graph Learning-based Approach to Congestion Control in Datacenters. CoRR (2023)
Hamid Latif, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros
Detecting Contextual Network Anomalies with Graph Neural Networks. GNNet@CoNEXT (2023)
Guillermo Bernárdez, José Suárez-Varela, Albert López, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
MAGNNETO: A Graph Neural Network-based Multi-Agent system for Traffic Engineering. CoRR (2023)
Guillermo Bernárdez, José Suárez-Varela, Albert López, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
MAGNNETO: A Graph Neural Network-Based Multi-Agent System for Traffic Engineering. IEEE Trans. Cogn. Commun. Netw. 9 (2) (2023)
Miquel Ferriol Galmés, Krzysztof Rusek, José Suárez-Varela, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation. CoRR (2022)
Miquel Ferriol Galmés, José Suárez-Varela, Jordi Paillisse, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
Building a Digital Twin for network optimization using Graph Neural Networks. Comput. Networks 217 (2022)
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
Network Digital Twin: Context, Enabling Technologies, and Opportunities. IEEE Commun. Mag. 60 (11) (2022)
Miquel Ferriol Galmés, Jordi Paillisse, José Suárez-Varela, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
RouteNet-Fermi: Network Modeling with Graph Neural Networks. CoRR (2022)
Martin Happ, Jia Lei Du, Matthias Herlich, Christian Maier, Peter Dorfinger, José Suárez-Varela
Exploring the Limitations of Current Graph Neural Networks for Network Modeling. NOMS (2022)
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
Network Digital Twin: Context, Enabling Technologies and Opportunities. CoRR (2022)
David Pujol-Perich, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros
Unveiling the potential of Graph Neural Networks for robust Intrusion Detection. SIGMETRICS Perform. Evaluation Rev. 49 (4) (2022)
Paul Almasan, José Suárez-Varela, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio
Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case. Comput. Commun. 196 (2022)
Krzysztof Rusek, Paul Almasan, José Suárez-Varela, Piotr Cholda, Pere Barlet-Ros, Albert Cabellos-Aparicio
Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing. CoRR (2022)
Miquel Ferriol Galmés, Krzysztof Rusek, José Suárez-Varela, Shihan Xiao, Xiang Shi, Xiangle Cheng, Bo Wu, Pere Barlet-Ros, Albert Cabellos-Aparicio
RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation. INFOCOM (2022)
Krzysztof Rusek, Paul Almasan, José Suárez-Varela, Piotr Cholda, Pere Barlet-Ros, Albert Cabellos-Aparicio
Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing. CNSM (2022)
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
Digital Twin Network: Opportunities and Challenges. CoRR (2022)
José Suárez-Varela, Miquel Ferriol Galmés, Albert Lopez, 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
The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks. CoRR (2021)
Miquel Ferriol Galmés, José Suárez-Varela, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio
Scaling Graph-based Deep Learning models to larger networks. CoRR (2021)
David Pujol-Perich, José Suárez-Varela, Miquel Ferriol, Shihan Xiao, Bo Wu, Albert Cabellos-Aparicio, Pere Barlet-Ros
IGNNITION: Bridging the Gap between Graph Neural Networks and Networking Systems. IEEE Netw. 35 (6) (2021)
Paul Almasan, José Suárez-Varela, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges. HPSR (2021)
David Pujol-Perich, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros
Unveiling the potential of Graph Neural Networks for robust Intrusion Detection. CoRR (2021)
Guillermo Bernárdez, José Suárez-Varela, Albert Lopez, Bo Wu, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
Is Machine Learning Ready for Traffic Engineering Optimization? CoRR (2021)
David Pujol-Perich, José Suárez-Varela, Miquel Ferriol, Shihan Xiao, Bo Wu, Albert Cabellos-Aparicio, Pere Barlet-Ros
IGNNITION: Bridging the Gap Between Graph Neural Networks and Networking Systems. CoRR (2021)
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
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. CoRR (2021)
Paul Almasan, José Suárez-Varela, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges. CoRR (2021)
José Suárez-Varela, Miquel Ferriol Galmés, Albert Lopez, 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
The graph neural networking challenge: a worldwide competition for education in AI/ML for networks. Comput. Commun. Rev. 51 (3) (2021)
Guillermo Bernárdez, José Suárez-Varela, Albert Lopez, Bo Wu, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
Is Machine Learning Ready for Traffic Engineering Optimization? ICNP (2021)
David Pujol-Perich, José Suárez-Varela, Miquel Ferriol Galmés, Bo Wu, Shihan Xiao, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
IGNNITION: fast prototyping of graph neural networks for communication networks. SIGCOMM Posters and Demos (2021)
Miquel Ferriol Galmés, José Suárez-Varela, Pere Barlet-Ros, Albert Cabellos-Aparicio
Applying Graph-based Deep Learning To Realistic Network Scenarios. CoRR (2020)
Krzysztof Rusek, José Suárez-Varela, Paul Almasan, Pere Barlet-Ros, Albert Cabellos-Aparicio
RouteNet: Leveraging Graph Neural Networks for Network Modeling and Optimization in SDN. IEEE J. Sel. Areas Commun. 38 (10) (2020)
Krzysztof Rusek, José Suárez-Varela, Albert Mestres, Pere Barlet-Ros, Albert Cabellos-Aparicio
Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN. CoRR (2019)
José Suárez-Varela, Albert Mestres, Junlin Yu, Li Kuang, Haoyu Feng, Pere Barlet-Ros, Albert Cabellos-Aparicio
Feature Engineering for Deep Reinforcement Learning Based Routing. ICC (2019)
Krzysztof Rusek, José Suárez-Varela, Albert Mestres, Pere Barlet-Ros, Albert Cabellos-Aparicio
Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN. SOSR (2019)
Paul Almasan, José Suárez-Varela, Arnau Badia-Sampera, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio
Deep Reinforcement Learning meets Graph Neural Networks: An optical network routing use case. CoRR (2019)
José Suárez-Varela, Albert Mestres, Junlin Yu, Li Kuang, Haoyu Feng, Pere Barlet-Ros, Albert Cabellos-Aparicio
Routing Based on Deep Reinforcement Learning in Optical Transport Networks. OFC (2019)
Krzysztof Rusek, José Suárez-Varela, Paul Almasan, Pere Barlet-Ros, Albert Cabellos-Aparicio
RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN. CoRR (2019)
Arnau Badia-Sampera, José Suárez-Varela, Paul Almasan, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio
Towards more realistic network models based on Graph Neural Networks. CoNEXT Companion (2019)
José Suárez-Varela, Sergi Carol-Bosch, Krzysztof Rusek, Paul Almasan, Marta Arias, Pere Barlet-Ros, Albert Cabellos-Aparicio
Challenging the generalization capabilities of Graph Neural Networks for network modeling. SIGCOMM Posters and Demos (2019)
Jordi Zayuelas i Muñoz, José Suárez-Varela, Pere Barlet-Ros
Detecting cryptocurrency miners with NetFlow/IPFIX network measurements. M&N (2019)
José Suárez-Varela, Albert Mestres, Junlin Yu, Li Kuang, Haoyu Feng, Albert Cabellos-Aparicio, Pere Barlet-Ros
Routing in optical transport networks with deep reinforcement learning. JOCN 11 (11) (2019)
José Suárez-Varela, Pere Barlet-Ros
SBAR: SDN flow-Based monitoring and Application Recognition. SOSR (2018)
José Suárez-Varela, Pere Barlet-Ros
Flow monitoring in Software-Defined Networks: Finding the accuracy/performance tradeoffs. Comput. Networks 135 (2018)
José Suárez-Varela, Pere Barlet-Ros
Towards accurate classification of HTTPS traffic in Software-Defined Networks. I2MTC (2018)
José Suárez-Varela, Pere Barlet-Ros
Reinventing NetFlow for OpenFlow Software-Defined Networks. CoRR (2017)
José Suárez-Varela, Pere Barlet-Ros
Towards a NetFlow Implementation for OpenFlow Software-Defined Networks. ITC (2017)