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Clemens Stachl et al.
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Ella Peltonen et al.
PERVASIVE AND MOBILE COMPUTING (2020)
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Zhen Tu et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2020)
CompetitiveBike: Competitive Analysis and Popularity Prediction of Bike-Sharing Apps Using Multi-Source Data
Yi Ouyang et al.
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Representation Learning for Attributed Multiplex Heterogeneous Network
Yukuo Cen et al.
KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING (2019)
Heterogeneous Graph Attention Network
Xiao Wang et al.
WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019) (2019)
Neural Graph Collaborative Filtering
Xiang Wang et al.
PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19) (2019)
Large-Scale Learnable Graph Convolutional Networks
Hongyang Gao et al.
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Mining User Attributes Using Large-Scale APP Lists of Smartphones
Sha Zhao et al.
IEEE SYSTEMS JOURNAL (2017)
Mining smartphone data for app usage prediction and recommendations: A survey
Hong Cao et al.
PERVASIVE AND MOBILE COMPUTING (2017)
metapath2vec: Scalable Representation Learning for Heterogeneous Networks
Yuxiao Dong et al.
KDD'17: PROCEEDINGS OF THE 23RD ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (2017)
Harvesting Multiple Sources for User Profile Learning: a Big Data Study
Aleksandr Farseev et al.
ICMR'15: PROCEEDINGS OF THE 2015 ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA RETRIEVAL (2015)
Mobile App Classification with Enriched Contextual Information
Hengshu Zhu et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2014)
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Suranga Seneviratne et al.
MOBILE COMPUTING AND COMMUNICATIONS REVIEW (2014)
User demographics prediction based on mobile data
Erheng Zhong et al.
PERVASIVE AND MOBILE COMPUTING (2013)
Nonlinear dimensionality reduction by locally linear embedding
ST Roweis et al.
SCIENCE (2000)