Learning Deep Network Representations with Adversarially Regularized Autoencoders-Reference-Cited by-同舟云学术

Learning Deep Network Representations with Adversarially Regularized Autoencoders

Published:2018-07-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
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Author:

Yu Wenchao¹,Zheng Cheng¹,Cheng Wei²,Aggarwal Charu C.³,Song Dongjin²,Zong Bo²,Chen Haifeng²,Wang Wei¹

Affiliation:

1. University of California Los Angeles, Los Angeles, CA, USA

2. NEC Laboratories America, Princeton, NJ, USA

3. IBM Research AI, Yorktown Height, NY, USA

Funder

National Institutes of Health

National Science Foundation

Army Research Laboratory

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3219819.3220000

Reference42 articles.

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2. Reducing the maximum degree of a graph by deleting vertices;Borg Peter;Australasian Journal Of Combinatorics,2017

3. Shaosheng Cao Wei Lu and Qiongkai Xu. 2016. Deep Neural Networks for Learning Graph Representations. AAAI. 1145--1152. Shaosheng Cao Wei Lu and Qiongkai Xu. 2016. Deep Neural Networks for Learning Graph Representations. AAAI. 1145--1152.

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