default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJosé Suárez-Varela
José Rafael Suárez-Varela Macià
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j13]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. Comput. Networks 257: 110981 (2025)- 2024
- [c18]Michail Kalntis
, José Suárez-Varela, Jesús Omana Iglesias, Anup Kiran Bhattacharjee, George Iosifidis, Fernando A. Kuipers, Andra Lutu:
Through the Telco Lens: A Countrywide Empirical Study of Cellular Handovers. IMC 2024: 51-67 - [e2]Pere Barlet-Ros, Pedro Casas, Franco Scarselli, José Suárez-Varela, Albert Cabellos:
Proceedings of the 3rd GNNet Workshop on Graph Neural Networking Workshop, GNNet 2024, Los Angeles, CA, USA, December 9-12, 2024. ACM 2024, ISBN 979-8-4007-1254-8 [contents] - [i22]Michail Kalntis, José Suárez-Varela, Jesús Omana Iglesias, Anup Kiran Bhattacharjee, George Iosifidis, Fernando A. Kuipers, Andra Lutu:
Through the Telco Lens: A Countrywide Empirical Study of Cellular Handovers. CoRR abs/2411.19586 (2024) - 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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-21 00:10 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
