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Stability of Aggregation Graph Neural Networks


Jul 08, 2022
Alejandro Parada-Mayorga, Zhiyang Wang, Fernando Gama, Alejandro Ribeiro


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State-Augmented Learnable Algorithms for Resource Management in Wireless Networks


Jul 05, 2022
Navid NaderiAlizadeh, Mark Eisen, Alejandro Ribeiro

* The implementation code is available at https://github.com/navid-naderi/StateAugmented_RRM_GNN 

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Self-Consistency of the Fokker-Planck Equation


Jun 02, 2022
Zebang Shen, Zhenfu Wang, Satyen Kale, Alejandro Ribeiro, Aim Karbasi, Hamed Hassani

* Accepted to COLT 2022. The code can be found at https://github.com/shenzebang/self-consistency-jax 

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coVariance Neural Networks


May 31, 2022
Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro


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Graph Neural Networks Are More Powerful Than we Think


May 19, 2022
Charilaos I. Kanatsoulis, Alejandro Ribeiro


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Learning Graph Structure from Convolutional Mixtures


May 19, 2022
Max Wasserman, Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro


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Learning Resilient Radio Resource Management Policies with Graph Neural Networks


Mar 07, 2022
Navid NaderiAlizadeh, Mark Eisen, Alejandro Ribeiro

* Code available at https://github.com/navid-naderi/Resilient_RRM_GNN 

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A Lagrangian Duality Approach to Active Learning


Feb 08, 2022
Juan Elenter, Navid NaderiAlizadeh, Alejandro Ribeiro


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Graph Reinforcement Learning for Wireless Control Systems: Large-Scale Resource Allocation over Interference Channels


Jan 24, 2022
Vinicius Lima, Mark Eisen, Konstantinos Gatsis, Alejandro Ribeiro


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Learning Connectivity-Maximizing Network Configurations


Dec 14, 2021
Daniel Mox, Vijay Kumar, Alejandro Ribeiro


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