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Wireless Power Control via Counterfactual Optimization of Graph Neural
  Networks

Wireless Power Control via Counterfactual Optimization of Graph Neural Networks

International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2020
17 February 2020
Navid Naderializadeh
Mark Eisen
Alejandro Ribeiro
ArXiv (abs)PDFHTML

Papers citing "Wireless Power Control via Counterfactual Optimization of Graph Neural Networks"

11 / 11 papers shown
Power Control with QoS Guarantees: A Differentiable Projection-based
  Unsupervised Learning Framework
Power Control with QoS Guarantees: A Differentiable Projection-based Unsupervised Learning FrameworkIEEE Transactions on Communications (IEEE Trans. Commun.), 2023
Mehrazin Alizadeh
Hina Tabassum
166
14
0
31 May 2023
Counterfactual Learning on Graphs: A Survey
Counterfactual Learning on Graphs: A SurveyMachine Intelligence Research (MIR), 2023
Zhimeng Guo
Teng Xiao
Zongyu Wu
Charu C. Aggarwal
Hui Liu
Suhang Wang
CMLAI4CE
505
28
0
03 Apr 2023
Weighted Sum-Rate Maximization With Causal Inference for Latent
  Interference Estimation
Weighted Sum-Rate Maximization With Causal Inference for Latent Interference Estimation
Lei You
266
1
0
15 Nov 2022
State-Augmented Learnable Algorithms for Resource Management in Wireless
  Networks
State-Augmented Learnable Algorithms for Resource Management in Wireless NetworksIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Navid Naderializadeh
Mark Eisen
Alejandro Ribeiro
294
32
0
05 Jul 2022
Learning Resilient Radio Resource Management Policies with Graph Neural
  Networks
Learning Resilient Radio Resource Management Policies with Graph Neural NetworksIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Navid Naderializadeh
Mark Eisen
Alejandro Ribeiro
498
43
0
07 Mar 2022
Wireless Link Scheduling via Graph Representation Learning: A
  Comparative Study of Different Supervision Levels
Wireless Link Scheduling via Graph Representation Learning: A Comparative Study of Different Supervision Levels
Navid Naderializadeh
299
6
0
04 Oct 2021
Modular Meta-Learning for Power Control via Random Edge Graph Neural
  Networks
Modular Meta-Learning for Power Control via Random Edge Graph Neural NetworksIEEE Transactions on Wireless Communications (IEEE TWC), 2021
I. Nikoloska
Osvaldo Simeone
292
31
0
04 Aug 2021
Graph-based Deep Learning for Communication Networks: A Survey
Graph-based Deep Learning for Communication Networks: A SurveyComputer Communications (Comput. Commun.), 2021
Weiwei Jiang
GNNAI4CE
331
261
0
04 Jun 2021
Fast Power Control Adaptation via Meta-Learning for Random Edge Graph
  Neural Networks
Fast Power Control Adaptation via Meta-Learning for Random Edge Graph Neural NetworksInternational Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2021
I. Nikoloska
Osvaldo Simeone
253
26
0
02 May 2021
Contrastive Self-Supervised Learning for Wireless Power Control
Contrastive Self-Supervised Learning for Wireless Power Control
Navid Naderializadeh
SSL
286
8
0
22 Oct 2020
Wasserstein Embedding for Graph Learning
Wasserstein Embedding for Graph Learning
Soheil Kolouri
Navid Naderializadeh
Gustavo K. Rohde
Heiko Hoffmann
GNN
335
98
0
16 Jun 2020
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