Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders-Reference-Cited by-同舟云学术

Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders

Published:2022-07-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Li Jinning¹,Shao Huajie²,Sun Dachun¹,Wang Ruijie¹,Yan Yuchen¹,Li Jinyang¹,Liu Shengzhong¹,Tong Hanghang¹,Abdelzaher Tarek¹

Affiliation:

1. University of Illinois at Urbana-Champaign, Champaign, IL, USA

2. College of William and Mary, Williamsburg, VA, USA

Funder

DARPA

DoD Basic Research Office

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3477495.3532072

Reference55 articles.

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2. Md Tanvir Al Amin , Charu Aggarwal , Shuochao Yao , Tarek Abdelzaher , and Lance Kaplan . 2017. Unveiling polarization in social networks: A matrix factorization approach . In INFOCOM. IEEE , 1--9. Md Tanvir Al Amin, Charu Aggarwal, Shuochao Yao, Tarek Abdelzaher, and Lance Kaplan. 2017. Unveiling polarization in social networks: A matrix factorization approach. In INFOCOM. IEEE, 1--9.

3. Your Stance is Exposed! Analysing Possible Factors for Stance Detection on Social Media

4. Semi-Supervised Multimodal Deep Learning Model for Polarity Detection in Arguments

5. Miguel A Arcones and Evarist Gine . 1992. On the bootstrap of U and V statistics. The Annals of Statistics ( 1992 ), 655--674. Miguel A Arcones and Evarist Gine. 1992. On the bootstrap of U and V statistics. The Annals of Statistics (1992), 655--674.

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