基于图神经网络资源分配的快速对抗训练

IF 5.5 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Wireless Communications Letters Pub Date : 2025-10-15 DOI:10.1109/lwc.2025.3621842

Hua Zhang, Kai Huang, Chengye Yang, Le Liang, Chongtao Guo, Hao Ye, Shi Jin

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Fast Adversarial Training For Graph Neural Network Based Resource Allocation

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来源期刊

IEEE Wireless Communications Letters Engineering-Electrical and Electronic Engineering

CiteScore

12.30

自引率

6.30%

发文量

481

期刊介绍： IEEE Wireless Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of wireless communications. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of wireless communication systems.