Active Few-shot Learning For RouteNet-Fermi-Reference-Cited by-同舟云学术

Active Few-shot Learning For RouteNet-Fermi

Published:2023-12-05 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd on Graph Neural Networking Workshop 2023
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Author:

Fu Xiaoyi¹^ORCID,Shao Menghan¹^ORCID,Li Songze²^ORCID,Yang Liuqing¹^ORCID

Affiliation:

1. The Hong Kong University of Science and Technology, Guangzhou, China

2. Southeast University, Nanjing, China

Funder

Guangzhou Municipal Science and Technology Project

Guangdong Provincial Department of Education Major Research Project

National Nature Science Foundation of China (NSFC) Grant

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3630049.3630174

Reference17 articles.

1. Network Digital Twin: Context, Enabling Technologies, and Opportunities

2. Sagie Benaim and Lior Wolf. 2018. One-shot unsupervised cross domain translation. advances in neural information processing systems 31. Sagie Benaim and Lior Wolf. 2018. One-shot unsupervised cross domain translation. advances in neural information processing systems 31.

3. One-Shot Video Object Segmentation

4. Rich Caruana. 1997. Multitask learning. Machine learning 28 41--75. Rich Caruana. 1997. Multitask learning. Machine learning 28 41--75.

5. Miquel Ferriol-Galmés , Jordi Paillisse , José Suárez-Varela , Krzysztof Rusek , Shihan Xiao , Xiang Shi , Xiangle Cheng , Pere Barlet-Ros , and Albert Cabellos- Aparicio . 2023. Routenet-fermi: network modeling with graph neural networks . IEEE/ACM Transactions on Networking . Miquel Ferriol-Galmés, Jordi Paillisse, José Suárez-Varela, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Pere Barlet-Ros, and Albert Cabellos- Aparicio. 2023. Routenet-fermi: network modeling with graph neural networks. IEEE/ACM Transactions on Networking.