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Is Machine Learning Ready for Traffic Engineering Optimization?

Is Machine Learning Ready for Traffic Engineering Optimization?

3 September 2021
Guillermo Bernárdez
José Suárez-Varela
Albert Lopez
Bo-Xi Wu
Shihan Xiao
Xiangle Cheng
Pere Barlet-Ros
A. Cabellos-Aparicio
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Papers citing "Is Machine Learning Ready for Traffic Engineering Optimization?"

10 / 10 papers shown
Title
Traffic Engineering in Large-scale Networks with Generalizable Graph Neural Networks
Traffic Engineering in Large-scale Networks with Generalizable Graph Neural Networks
Fangtong Zhou
Xiaorui Liu
Ruozhou Yu
G. Xue
GNN
51
0
0
31 Mar 2025
Towards Generalizability of Multi-Agent Reinforcement Learning in Graphs
  with Recurrent Message Passing
Towards Generalizability of Multi-Agent Reinforcement Learning in Graphs with Recurrent Message Passing
Jannis Weil
Zhenghua Bao
Osama Abboud
Tobias Meuser
AI4CE
8
1
0
07 Feb 2024
FERN: Leveraging Graph Attention Networks for Failure Evaluation and
  Robust Network Design
FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design
Chenyi Liu
Vaneet Aggarwal
Tian-Shing Lan
Nan Geng
Yuan Yang
Mingwei Xu
Qing Li
GNN
10
3
0
30 May 2023
MAGNNETO: A Graph Neural Network-based Multi-Agent system for Traffic
  Engineering
MAGNNETO: A Graph Neural Network-based Multi-Agent system for Traffic Engineering
Guillermo Bernárdez
José Suárez-Varela
Albert Lopez
Xiang Shi
Shihan Xiao
Xiangle Cheng
Pere Barlet-Ros
A. Cabellos-Aparicio
27
24
0
31 Mar 2023
Proximal Policy Optimization with Graph Neural Networks for Optimal Power Flow
Proximal Policy Optimization with Graph Neural Networks for Optimal Power Flow
Ángela López-Cardona
Guillermo Bernárdez
Pere Barlet-Ros
A. Cabellos-Aparicio
31
4
0
23 Dec 2022
Accelerating Deep Reinforcement Learning for Digital Twin Network
  Optimization with Evolutionary Strategies
Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies
Carlos Güemes-Palau
Paul Almasan
Shihan Xiao
Xiangle Cheng
Xiang Shi
Pere Barlet-Ros
A. Cabellos-Aparicio
19
9
0
01 Feb 2022
A Graph Attention Learning Approach to Antenna Tilt Optimization
A Graph Attention Learning Approach to Antenna Tilt Optimization
Yifei Jin
Filippo Vannella
Maxime Bouton
Jaeseong Jeong
Ezeddin Al Hakim
8
10
0
27 Dec 2021
Physics Constrained Flow Neural Network for Short-Timescale Predictions
  in Data Communications Networks
Physics Constrained Flow Neural Network for Short-Timescale Predictions in Data Communications Networks
Xiangle Cheng
James He
Shihan Xiao
Yingxue Zhang
Zhitang Chen
Pascal Poupart
Fenglin Li
PINN
AI4CE
106
0
0
23 Dec 2021
Deep Reinforcement Learning meets Graph Neural Networks: exploring a
  routing optimization use case
Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case
Paul Almasan
J. Suárez-Varela
Krzysztof Rusek
Pere Barlet-Ros
A. Cabellos-Aparicio
GNN
AI4CE
48
183
0
16 Oct 2019
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
278
1,400
0
01 Dec 2016
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