Appropriate Graph-Algorithm Selection for Edge Devices Using Machine Learning-Reference-Cited by-同舟云学术

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Appropriate Graph-Algorithm Selection for Edge Devices Using Machine Learning

Published:2023-12-18 Issue: Volume:45 Page:544-551
ISSN:
Container-title:2023 IEEE 16th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)
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Author:

Fukasawa Yusuke¹,Komatsu Kazuhiko²,Sato Masayuki¹,Kobayashi Hiroaki¹

Affiliation:

1. Tohoku University,Graduate School of Information Sciences,Sendai,Japan

2. Tohoku University,Cyberscience Center,Sendai,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10387741/10387791/10387894.pdf?arnumber=10387894

Reference23 articles.

1. Edge Computing: Vision and Challenges

2. Challenges and Opportunities in Edge Computing

3. Management and Analysis of Big Graph Data: Current Systems and Open Challenges

4. Large scale graph processing systems: survey and an experimental evaluation

5. Protein flexibility predictions using graph theory

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