Scalable temporal latent space inference for link prediction in dynamic social networks (Extended abstract)

Linhong Zhu; Dong Guo; Junming Yin; Greg Ver Steeg; Aram Galstyan

doi:10.1109/ICDE.2017.35

Scalable temporal latent space inference for link prediction in dynamic social networks (Extended abstract)

Linhong Zhu, Dong Guo, Junming Yin, Greg Ver Steeg, Aram Galstyan

Management Information Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Scopus citations

Original language	English (US)
Title of host publication	Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017
Publisher	IEEE Computer Society
Pages	57-58
Number of pages	2
ISBN (Electronic)	9781509065431
DOIs	https://doi.org/10.1109/ICDE.2017.35
State	Published - May 16 2017
Event	33rd IEEE International Conference on Data Engineering, ICDE 2017 - San Diego, United States Duration: Apr 19 2017 → Apr 22 2017

Publication series

Name	Proceedings - International Conference on Data Engineering
ISSN (Print)	1084-4627

Other

Other	33rd IEEE International Conference on Data Engineering, ICDE 2017
Country/Territory	United States
City	San Diego
Period	4/19/17 → 4/22/17

ASJC Scopus subject areas

Software
Signal Processing
Information Systems

Access to Document

10.1109/ICDE.2017.35

Cite this

Zhu, L., Guo, D., Yin, J., Steeg, G. V., & Galstyan, A. (2017). Scalable temporal latent space inference for link prediction in dynamic social networks (Extended abstract). In Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017 (pp. 57-58). Article 7929931 (Proceedings - International Conference on Data Engineering). IEEE Computer Society. https://doi.org/10.1109/ICDE.2017.35

Scalable temporal latent space inference for link prediction in dynamic social networks (Extended abstract). / Zhu, Linhong; Guo, Dong; Yin, Junming et al.
Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017. IEEE Computer Society, 2017. p. 57-58 7929931 (Proceedings - International Conference on Data Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zhu, L, Guo, D, Yin, J, Steeg, GV & Galstyan, A 2017, Scalable temporal latent space inference for link prediction in dynamic social networks (Extended abstract). in Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017., 7929931, Proceedings - International Conference on Data Engineering, IEEE Computer Society, pp. 57-58, 33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, United States, 4/19/17. https://doi.org/10.1109/ICDE.2017.35

Zhu L, Guo D, Yin J, Steeg GV, Galstyan A. Scalable temporal latent space inference for link prediction in dynamic social networks (Extended abstract). In Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017. IEEE Computer Society. 2017. p. 57-58. 7929931. (Proceedings - International Conference on Data Engineering). doi: 10.1109/ICDE.2017.35

@inproceedings{021aab4f79bb4fcda61e21c052fe7432,

title = "Scalable temporal latent space inference for link prediction in dynamic social networks (Extended abstract)",

author = "Linhong Zhu and Dong Guo and Junming Yin and Steeg, {Greg Ver} and Aram Galstyan",

year = "2017",

month = may,

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doi = "10.1109/ICDE.2017.35",

language = "English (US)",

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publisher = "IEEE Computer Society",

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note = "33rd IEEE International Conference on Data Engineering, ICDE 2017 ; Conference date: 19-04-2017 Through 22-04-2017",

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Scalable temporal latent space inference for link prediction in dynamic social networks (Extended abstract)

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ASJC Scopus subject areas

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