Paul Almasan

Orcid: 0000-0003-3903-6759

According to our database1, Paul Almasan authored at least 18 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities.
IEEE Netw., 2023

Leveraging Spatial and Temporal Correlations for Network Traffic Compression.
CoRR, 2023

Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks.
Proceedings of the 2nd on Graph Neural Networking Workshop 2023, 2023

Enhancing 5G Radio Planning with Graph Representations and Deep Learning.
Proceedings of the 3rd ACM Workshop on 5G and Beyond Network Measurements, 2023

2022
Digital Twin Network: Opportunities and Challenges.
CoRR, 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

Network Digital Twin: Context, Enabling Technologies, and Opportunities.
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

Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing.
Proceedings of the 18th International Conference on Network and Service Management, 2022

2021
ENERO: Efficient Real-Time Routing Optimization.
CoRR, 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

Towards more realistic network models based on Graph Neural Networks.
Proceedings of the 15th International Conference on emerging Networking EXperiments and Technologies, 2019

2018
Securing the Control-plane Channel and Cache of Pull-based ID/LOC Protocols.
CoRR, 2018


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