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José Suárez-Varela
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2020 – today
- 2023
- [j12]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): 146-153 (2023) - [j11]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): 494-506 (2023) - [j10]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): 3080-3095 (2023) - [c17]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: 14-20 - [c16]Hamid Latif
, José Suárez-Varela
, Albert Cabellos-Aparicio
, Pere Barlet-Ros
:
Detecting Contextual Network Anomalies with Graph Neural Networks. GNNet@CoNEXT 2023: 25-30 - [e1]Pere Barlet-Ros, Pedro Casas, Franco Scarselli, José Suárez-Varela, Albert Cabellos:
Proceedings of the 2nd on Graph Neural Networking Workshop 2023, GNNet 2023, Paris, France, 8 December 2023. ACM 2023 [contents] - [i21]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 abs/2303.18157 (2023) - [i20]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 abs/2308.04905 (2023) - [i19]Paul Almasan, José Suárez-Varela, Andra Lutu, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Enhancing 5G Radio Planning with Graph Representations and Deep Learning. CoRR abs/2309.03603 (2023) - [i18]Hamid Latif-Martínez, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Detecting Contextual Network Anomalies with Graph Neural Networks. CoRR abs/2312.06342 (2023) - 2022
- [j9]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): 22-27 (2022) - [j8]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: 109329 (2022) - [j7]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: 184-194 (2022) - [j6]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): 111-117 (2022) - [c15]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: 359-363 - [c14]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: 2018-2027 - [c13]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: 1-8 - [i17]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 abs/2201.01144 (2022) - [i16]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 abs/2202.13956 (2022) - [i15]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 abs/2205.14206 (2022) - [i14]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 abs/2209.10380 (2022) - [i13]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 abs/2212.12070 (2022) - 2021
- [j5]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:
The graph neural networking challenge: a worldwide competition for education in AI/ML for networks. Comput. Commun. Rev. 51(3): 9-16 (2021) - [j4]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): 171-177 (2021) - [c12]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: 1-6 - [c11]Guillermo Bernárdez, José Suárez-Varela
, Albert López, Bo Wu, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Is Machine Learning Ready for Traffic Engineering Optimization? ICNP 2021: 1-11 - [c10]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: 71-73 - [i12]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 abs/2106.09754 (2021) - [i11]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:
The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks. CoRR abs/2107.12433 (2021) - [i10]David Pujol-Perich, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Unveiling the potential of Graph Neural Networks for robust Intrusion Detection. CoRR abs/2107.14756 (2021) - [i9]Guillermo Bernárdez, José Suárez-Varela, Albert López, Bo Wu, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Is Machine Learning Ready for Traffic Engineering Optimization? CoRR abs/2109.01445 (2021) - [i8]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 abs/2109.06715 (2021) - [i7]Miquel Ferriol Galmés, José Suárez-Varela, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Scaling Graph-based Deep Learning models to larger networks. CoRR abs/2110.01261 (2021) - [i6]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 abs/2112.14792 (2021) - 2020
- [b1]José Rafael Suárez-Varela Macià:
Enabling knowledge-defined networks : deep reinforcement learning, graph neural networks and network analytics. Polytechnic University of Catalonia, Spain, 2020 - [j3]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): 2260-2270 (2020) - [i5]Miquel Ferriol Galmés, José Suárez-Varela, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Applying Graph-based Deep Learning To Realistic Network Scenarios. CoRR abs/2010.06686 (2020)
2010 – 2019
- 2019
- [j2]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): 547-558 (2019) - [c9]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: 14-16 - [c8]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: 1-6 - [c7]Jordi Zayuelas i Muñoz, José Suárez-Varela
, Pere Barlet-Ros:
Detecting cryptocurrency miners with NetFlow/IPFIX network measurements. M&N 2019: 1-6 - [c6]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: 1-3 - [c5]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: 114-115 - [c4]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: 140-151 - [i4]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 abs/1901.08113 (2019) - [i3]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 abs/1910.01508 (2019) - [i2]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 abs/1910.07421 (2019) - 2018
- [j1]José Suárez-Varela
, Pere Barlet-Ros
:
Flow monitoring in Software-Defined Networks: Finding the accuracy/performance tradeoffs. Comput. Networks 135: 289-301 (2018) - [c3]José Suárez-Varela
, Pere Barlet-Ros:
Towards accurate classification of HTTPS traffic in Software-Defined Networks. I2MTC 2018: 1-6 - [c2]José Suárez-Varela
, Pere Barlet-Ros:
SBAR: SDN flow-Based monitoring and Application Recognition. SOSR 2018: 22:1-22:2 - 2017
- [c1]José Suárez-Varela
, Pere Barlet-Ros:
Towards a NetFlow Implementation for OpenFlow Software-Defined Networks. ITC 2017: 187-195 - [i1]José Suárez-Varela, Pere Barlet-Ros:
Reinventing NetFlow for OpenFlow Software-Defined Networks. CoRR abs/1702.06803 (2017)
Coauthor Index
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