Shihan Xiao

IEEE/ACM Trans. Netw., December, 2023

MAGNNETO: A Graph Neural Network-Based Multi-Agent System for Traffic Engineering.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Commun. Netw., April, 2023

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

[BibT_eX]

[DOI]

José Suárez-Varela

Paul Almasan

IEEE Netw., 2023

GraphCC: A Practical Graph Learning-based Approach to Congestion Control in Datacenters.

[BibT_eX]

[DOI]

CoRR, 2023

Leveraging Spatial and Temporal Correlations for Network Traffic Compression.

[BibT_eX]

[DOI]

CoRR, 2023

Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2nd on Graph Neural Networking Workshop 2023, 2023

2022

Hierarchical Dynamic Routing in Complex Networks via Topologically-decoupled and Cooperative Reinforcement Learning Agents.

[BibT_eX]

[DOI]

Shiyuan Hu

Shihan Xiao

CoRR, 2022

RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation.

[BibT_eX]

[DOI]

CoRR, 2022

Digital Twin Network: Opportunities and Challenges.

[BibT_eX]

[DOI]

Paul Almasan

Antonio Agustin Pastor Perales

CoRR, 2022

Building a Digital Twin for network optimization using Graph Neural Networks.

[BibT_eX]

[DOI]

Comput. Networks, 2022

ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Comput. Networks, 2022

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

[BibT_eX]

[DOI]

Paul Almasan

Antonio Agustin Pastor Perales

IEEE Commun. Mag., 2022

Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022

Learning Traffic Encoding Matrices for Delay-Aware Traffic Engineering in SD-WANs.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022

RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2022, 2022

FlowDT: A Flow-Aware Digital Twin for Computer Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

IGNNITION: Bridging the Gap between Graph Neural Networks and Networking Systems.

[BibT_eX]

[DOI]

IEEE Netw., 2021

Physics Constrained Flow Neural Network for Short-Timescale Predictions in Data Communications Networks.

[BibT_eX]

[DOI]

CoRR, 2021

ENERO: Efficient Real-Time Routing Optimization.

[BibT_eX]

[DOI]

CoRR, 2021

The graph neural networking challenge: a worldwide competition for education in AI/ML for networks.

[BibT_eX]

[DOI]

Comput. Commun. Rev., 2021

IGNNITION: fast prototyping of graph neural networks for communication networks.

[BibT_eX]

[DOI]

David Pujol-Perich

José Suárez-Varela

Bo Wu

Shihan Xiao

Xiangle Cheng

Proceedings of the SIGCOMM '21: ACM SIGCOMM 2021 Conference, 2021

Is Machine Learning Ready for Traffic Engineering Optimization?

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Conference on Network Protocols, 2021

Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges.

[BibT_eX]

[DOI]