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Distributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks



Zhongyuan Zhao , Ananthram Swami , Santiago Segarra

* 5 pages, 11 figures, accepted to IEEE ICASSP 2022. arXiv admin note: text overlap with arXiv:2111.07017 

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Power Allocation for Wireless Federated Learning using Graph Neural Networks



Boning Li , Ananthram Swami , Santiago Segarra


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Delay-Oriented Distributed Scheduling Using Graph Neural Networks



Zhongyuan Zhao , Gunjan Verma , Ananthram Swami , Santiago Segarra

* 5 pages, 6 figures, submitted to ICASSP 2022. arXiv admin note: text overlap with arXiv:2109.05536 

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ML-aided power allocation for Tactical MIMO



Arindam Chowdhury , Gunjan Verma , Chirag Rao , Ananthram Swami , Santiago Segarra

* Under review at MILCOM 2021 

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Link Scheduling using Graph Neural Networks



Zhongyuan Zhao , Gunjan Verma , Chirag Rao , Ananthram Swami , Santiago Segarra

* 13 pages, 15 figures, submitted to IEEE Journal of Selected Topics in Signal Processing. arXiv admin note: text overlap with arXiv:2011.09430 

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Free Energy Node Embedding via Generalized Skip-gram with Negative Sampling



Yu Zhu , Ananthram Swami , Santiago Segarra


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Distributed Scheduling using Graph Neural Networks



Zhongyuan Zhao , Gunjan Verma , Chirag Rao , Ananthram Swami , Santiago Segarra

* 5 pages, 6 figures, submitted to IEEE ICASSP 2021 

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Adaptive Contention Window Design using Deep Q-learning



Abhishek Kumar , Gunjan Verma , Chirag Rao , Ananthram Swami , Santiago Segarra


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Efficient power allocation using graph neural networks and deep algorithm unfolding



Arindam Chowdhury , Gunjan Verma , Chirag Rao , Ananthram Swami , Santiago Segarra

* Under review at IEEE ICASSP 2021. arXiv admin note: text overlap with arXiv:2009.10812 

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Unsupervised Joint $k$-node Graph Representations with Compositional Energy-Based Models



Leonardo Cotta , Carlos H. C. Teixeira , Ananthram Swami , Bruno Ribeiro

* accepted at NeurIPS 2020 

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