Paul Almasan
Orcid: 0000-0003-3903-6759
According to our database1,
Paul Almasan
authored at least 19 papers
between 2018 and 2024.
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Bibliography
2024
Leveraging graph neural networks for optimization and traffic compression in network digital twins
PhD thesis, 2024
2023
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities.
IEEE Netw., 2023
CoRR, 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
Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case.
Comput. Commun., 2022
ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning.
Comput. Networks, 2022
IEEE Commun. Mag., 2022
Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies.
Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022
Proceedings of the 18th International Conference on Network and Service Management, 2022
2021
The graph neural networking challenge: a worldwide competition for education in AI/ML for networks.
Comput. Commun. Rev., 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
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
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 15th International Conference on emerging Networking EXperiments and Technologies, 2019
2018
CoRR, 2018