José Suárez-Varela
Orcid: 0000-0002-7141-3414
According to our database1,
José Suárez-Varela
authored at least 38 papers
between 2017 and 2025.
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Bibliography
2025
GraphCC: A practical graph learning-based approach to Congestion Control in datacenters.
Comput. Networks, 2025
2024
Proceedings of the 2024 ACM on Internet Measurement Conference, 2024
2023
IEEE/ACM Trans. Netw., December, 2023
IEEE Trans. Cogn. Commun. Netw., April, 2023
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities.
IEEE Netw., 2023
Proceedings of the 2nd on Graph Neural Networking Workshop 2023, 2023
Proceedings of the 3rd ACM Workshop on 5G and Beyond Network Measurements, 2023
2022
SIGMETRICS Perform. Evaluation Rev., 2022
CoRR, 2022
Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case.
Comput. Commun., 2022
Comput. Networks, 2022
IEEE Commun. Mag., 2022
Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022
Proceedings of the IEEE INFOCOM 2022, 2022
Proceedings of the 18th International Conference on Network and Service Management, 2022
2021
IEEE Netw., 2021
The graph neural networking challenge: a worldwide competition for education in AI/ML for networks.
Comput. Commun. Rev., 2021
Proceedings of the SIGCOMM '21: ACM SIGCOMM 2021 Conference, 2021
Proceedings of the 29th IEEE International Conference on Network Protocols, 2021
Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges.
Proceedings of the 22nd IEEE International Conference on High Performance Switching and Routing, 2021
2020
Enabling knowledge-defined networks : deep reinforcement learning, graph neural networks and network analytics.
PhD thesis, 2020
RouteNet: Leveraging Graph Neural Networks for Network Modeling and Optimization in SDN.
IEEE J. Sel. Areas Commun., 2020
2019
Deep Reinforcement Learning meets Graph Neural Networks: An optical network routing use case.
CoRR, 2019
Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN.
Proceedings of the 2019 ACM Symposium on SDN Research, 2019
Challenging the generalization capabilities of Graph Neural Networks for network modeling.
Proceedings of the ACM SIGCOMM 2019 Conference Posters and Demos, 2019
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2019
Proceedings of the 5th IEEE International Symposium on Measurements & Networking, 2019
Proceedings of the 2019 IEEE International Conference on Communications, 2019
Proceedings of the 15th International Conference on emerging Networking EXperiments and Technologies, 2019
2018
Flow monitoring in Software-Defined Networks: Finding the accuracy/performance tradeoffs.
Comput. Networks, 2018
Proceedings of the Symposium on SDN Research, 2018
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018
2017
Proceedings of the 29th International Teletraffic Congress, 2017