Graph Neural Network for Real-Time Simulation of SDN-Enabled Communication-Reference-Cited by-同舟云学术

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Graph Neural Network for Real-Time Simulation of SDN-Enabled Communication

Published:2024-06-19 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 IEEE Transportation Electrification Conference and Expo (ITEC)
language:
Short-container-title:

Author:

Kalra Rohin¹,Smith Andrew²,Li Yan²,Du Liang³

Affiliation:

1. The Pennsylvania State University,Department of Computer Science Engineering,University Park,Pennsylvania,USA

2. The Pennsylvania State University,Department of Electrical Engineering,University Park,Pennsylvania,USA

3. Temple University,Department of Electrical & Computer Engineering,Philadelphia,Pennsylvania,USA

Funder

Office of Naval Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10598816/10598836/10599011.pdf?arnumber=10599011

Reference12 articles.

1. Sdn for 5g;Zolanvari;Cse. Wustl. Edu,2015

2. RouteNet: Leveraging Graph Neural Networks for Network Modeling and Optimization in SDN

3. RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation

4. RouteNet-Fermi: Network Modeling With Graph Neural Networks

5. Enabling Reconfigurable Naval SCADA Network through Software-Defined Networking

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