Distributed Scheduling Using Graph Neural Networks-Reference-Cited by-同舟云学术

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Distributed Scheduling Using Graph Neural Networks

Published:2021-06-06 Issue: Volume: Page:
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Container-title:ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

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

Funder

Army Research Office

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9413349/9413350/09414098.pdf?arnumber=9414098

Cited by 40 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Opportunities and challenges of graph neural networks in electrical engineering;Nature Reviews Electrical Engineering;2024-08-05

2. Power allocation using spatio-temporal graph neural networks and reinforcement learning;Wireless Networks;2024-07-17

3. Fractional function energy efficiency optimization in wireless networks: A graph convolutional network approach;Ad Hoc Networks;2024-07

4. HITLinQ: Improving path capacity through hybrid information-theoretic link scheduling in multi-hop wireless networks;Computer Networks;2024-05

5. Activation Compression of Graph Neural Networks Using Block-Wise Quantization with Improved Variance Minimization;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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