Neural Relational Topic Models for Scientific Article Analysis-Reference-Cited by-同舟云学术

Neural Relational Topic Models for Scientific Article Analysis

Published:2018-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 27th ACM International Conference on Information and Knowledge Management
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Author:

Bai Haoli¹,Chen Zhuangbin¹,Lyu Michael R.¹,King Irwin¹,Xu Zenglin²

Affiliation:

1. Chinese University of Hong Kong, Hong Kong, Hong Kong

2. University of Electronic Science and Technology of China, Chengdu, China

Funder

Research Grants Council of the Hong Kong Special Administrative Region, China.

Natural Science Foundation of China

Research Grants Council of the Hong Kong Special Administrative Region, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3269206.3271696

Reference42 articles.

1. Haoli Bai Zenglin Xu Bin Liu and Yingming Li. 2016. Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network. In ACML. 270--285. Haoli Bai Zenglin Xu Bin Liu and Yingming Li. 2016. Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network. In ACML. 270--285.

2. Yoshua Bengio Pascal Lamblin Dan Popovici and Hugo Larochelle. 2007. Greedy layer-wise training of deep networks. In NIPS. 153--160. Yoshua Bengio Pascal Lamblin Dan Popovici and Hugo Larochelle. 2007. Greedy layer-wise training of deep networks. In NIPS. 153--160.

3. Ziqiang Cao Sujian Li Yang Liu Wenjie Li and Heng Ji. 2015. A Novel Neural Topic Model and Its Supervised Extension. In AAAI. 2210--2216. Ziqiang Cao Sujian Li Yang Liu Wenjie Li and Heng Ji. 2015. A Novel Neural Topic Model and Its Supervised Extension. In AAAI. 2210--2216.

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