Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN-Reference-Cited by-同舟云学术

Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN

Published:2019-04-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 ACM Symposium on SDN Research
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Author:

Rusek Krzysztof¹,Suárez-Varela José²,Mestres Albert²,Barlet-Ros Pere²,Cabellos-Aparicio Albert²

Affiliation:

1. AGH University of Science and Technology, Department of Telecommunications, Krakow, Poland

2. Universitat Politècnica de Catalunya, Spain

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3314148.3314357

Reference34 articles.

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4. A roadmap for traffic engineering in SDN-OpenFlow networks

5. Fernando Barreto Emílio CG Wille and Luiz Nacamura Jr. 2012. Fast emergency paths schema to overcome transient link failures in ospf routing. arXiv preprint arXiv:1204.2465 (2012). Fernando Barreto Emílio CG Wille and Luiz Nacamura Jr. 2012. Fast emergency paths schema to overcome transient link failures in ospf routing. arXiv preprint arXiv:1204.2465 (2012).

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