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A Graph Neural Network Approach for Caching Performance Optimization in NDN Networks

  • Published:2022 Issue: Volume:10 Page:112657-112668
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Hou Jiacheng1ORCID,Xia Huanzhang2,Lu Haoye3,Nayak Amiya1ORCID

Affiliation:

1. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada

2. Department of Computer Science, University of Toronto, Toronto, Canada

3. David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada

Funder

Natural Sciences and Engineering Research Council (NSERC) of Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 5 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. Enhancing Heterogeneous Network Performance: Advanced Content Popularity Prediction and Efficient Caching;Electronics;2024-02-18

2. A Graph-Based Spatial-Temporal Deep Reinforcement Learning Model for Edge Caching;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

3. A GNN-DRL-based Collaborative Edge Computing Strategy for Partial Offloading;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

4. An Efficient Content Popularity Classification using An Artificial Neural Network with Proactive Caching in Named Data Networking;2023 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob);2023-10-10

5. Forecasting SDN End-to-End Latency Using Graph Neural Network;2023 International Conference on Information Networking (ICOIN);2023-01-11
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