Semantics-Enhanced Temporal Graph Networks for Content Caching and Energy Saving-Reference-Cited by-同舟云学术

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Semantics-Enhanced Temporal Graph Networks for Content Caching and Energy Saving

Published:2023-05-28 Issue: Volume: Page:
ISSN:
Container-title:ICC 2023 - IEEE International Conference on Communications
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Author:

Zhu Jianhang¹,Li Rongpeng¹,Chen Xianfu²,Mao Shiwen³,Wu Jianjun⁴,Zhao Zhifeng¹

Affiliation:

1. Zhejiang University,Dept. of Information Science and Electronic Engineering,Hangzhou,China,310027

2. VTT Technical Research Centre of Finland,Oulu,Finland,90570

3. Auburn University,Dept. of Electrical and Computer Engineering,Auburn,AL,USA,36849-5201

4. Huawei Technologies Company, Ltd.,Shanghai,China,201206

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10278505/10278554/10279564.pdf?arnumber=10279564

Reference20 articles.

1. Graph attention networks;veli?kovi?;Proc ICLR,2018

2. Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey

3. Inductive representation learning on temporal graphs;xu;Proc ICLR Virtual Edition,0

4. Attention is all you need;vaswani;Proc NeurIPS,2017

5. Glove: Global Vectors for Word Representation

Cited by 1 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. Semantics-Enhanced Temporal Graph Networks for Content Popularity Prediction;IEEE Transactions on Mobile Computing;2024-08

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