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Attributed Social Network Embedding
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Inductive Multi-Hypergraph Learning and Its Application on View-Based 3D Object Classification
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Heterogeneous Hyper-Network Embedding
Inci M. Baytas et al.
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Camel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification
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An Ensemble Approach to Link Prediction
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A Survey of Heterogeneous Information Network Analysis
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HIN2Vec: Explore Meta-paths in Heterogeneous Information Networks for Representation Learning
Tao-yang Fu et al.
CIKM'17: PROCEEDINGS OF THE 2017 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT (2017)
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Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification
Ting Chen et al.
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Yi-Ling Chen et al.
2015 IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM) (2015)
Link prediction in complex networks: A survey
Linyuan Lue et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2011)
Hyperbolic geometry of complex networks
Dmitri Krioukov et al.
PHYSICAL REVIEW E (2010)
Hierarchical structure and the prediction of missing links in networks
Aaron Clauset et al.
NATURE (2008)
The link-prediction problem for social networks
David Liben-Nowell et al.
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY (2007)