Leveraging Relational Graph Neural Network for Transductive Model Ensemble-Reference-Cited by-同舟云学术

Leveraging Relational Graph Neural Network for Transductive Model Ensemble

Published:2023-08-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Hu Zhengyu¹^ORCID,Zhang Jieyu²^ORCID,Wang Haonan³^ORCID,Liu Siwei¹^ORCID,Liang Shangsong⁴^ORCID

Affiliation:

1. Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE

2. University of Washington, Seattle, WA, USA

3. National University of Singapore, Singapore, Singapore

4. Mohamed bin Zayed University of Artificial Intelligence & Sun Yat-sen University, Abu Dhabi, UAE

Funder

MBZUAI-WIS funding; MBZUAI start-up funding

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599414

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3. Alexander A Alemi , Ian Fischer , Joshua V Dillon , and Kevin Murphy . 2016. Deep variational information bottleneck. arXiv preprint arXiv:1612.00410 ( 2016 ). Alexander A Alemi, Ian Fischer, Joshua V Dillon, and Kevin Murphy. 2016. Deep variational information bottleneck. arXiv preprint arXiv:1612.00410 (2016).

4. Daniel Bolya Rohit Mittapalli and Judy Hoffman. 2021a. Scalable Diverse Model Selection for Accessible Transfer Learning. In NeurIPS. Daniel Bolya Rohit Mittapalli and Judy Hoffman. 2021a. Scalable Diverse Model Selection for Accessible Transfer Learning. In NeurIPS.

5. Scalable Diverse Model Selection for Accessible Transfer Learning;Bolya Daniel;Advances in Neural Information Processing Systems,2021

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