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News

Paper on Graph Inference accepted at WWW / TheWebConf 2019

21.01.2019


Our work "GhostLink: Mining Latent Influence Networks for Influence-aware Item Recommendation", where we tackle the problem of learning latent influence networks (i.e. an instance of graph inference), has been accepted at the International World Wide Web Conference. Congratulations to my co-author Subhabrata Mukherjee from Amazon.


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Informatik 26 - Data Analytics and Machine Learning


Prof. Dr. Stephan Günnemann

Technische Universität München
TUM School of Computation, Information and Technology
Department of Computer Science
Boltzmannstr. 3
85748 Garching 

Sekretariat:
Raum 00.11.057
Tel.: +49 89 289-17256
Fax: +49 89 289-17257

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