HeteSpaceyWalk-Reference-Cited by-同舟云学术

HeteSpaceyWalk

Published:2019-11-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM International Conference on Information and Knowledge Management
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Author:

He Yu¹,Song Yangqiu²,Li Jianxin¹,Ji Cheng¹,Peng Jian³,Peng Hao¹

Affiliation:

1. Beijing Advanced Innovation Center for Big Data and Brain Computing & Beihang University, Beijing, China

2. Hong Kong University of Science and Technology, Hone Kong, Hong Kong

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

Funder

Early Career Scheme

NSFC

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3357384.3358061

Reference43 articles.

1. The Spacey Random Walk: A Stochastic Process for Higher-Order Data

2. Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating Embeddings for Modeling Multi-relational Data. In NIPS. 2787--2795. Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating Embeddings for Modeling Multi-relational Data. In NIPS. 2787--2795.

3. Guillaume Bouchard Dawei Yin and Shengbo Guo. 2013. Convex Collective Matrix Factorization. In AISTATS. 144--152. Guillaume Bouchard Dawei Yin and Shengbo Guo. 2013. Convex Collective Matrix Factorization. In AISTATS. 144--152.

4. A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications

5. Shiyu Chang Wei Han Jiliang Tang Guo-Jun Qi Charu C Aggarwal and Thomas S Huang. 2015. Heterogeneous network embedding via deep architectures. In KDD. ACM 119--128. Shiyu Chang Wei Han Jiliang Tang Guo-Jun Qi Charu C Aggarwal and Thomas S Huang. 2015. Heterogeneous network embedding via deep architectures. In KDD. ACM 119--128.

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