Biased graph walks for RDF graph embeddings

Author:

Cochez Michael1,Ristoski Petar2,Ponzetto Simone Paolo2,Paulheim Heiko2

Affiliation:

1. RWTH University Aachen, Aachen, Germany and University of Jyvaskyla, Jyvaskyla, Finland

2. University of Mannheim, Mannheim, Germany

Funder

Ministry of Science, Research and the Arts of the state of Baden-Wuremberg

German Research Foundation (DFG)

Publisher

ACM

Reference45 articles.

1. Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In Advances in neural information processing systems. 2787--2795. Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In Advances in neural information processing systems . 2787--2795.

2. The anatomy of a large-scale hypertextual Web search engine

3. Weiwei Cheng Gjergji Kasneci Thore Graepel David Stern and Ralf Herbrich. 2011. Automated Feature Generation from Structured Knowledge. In CIKM. 10.1145/2063576.2063779 Weiwei Cheng Gjergji Kasneci Thore Graepel David Stern and Ralf Herbrich. 2011. Automated Feature Generation from Structured Knowledge. In CIKM . 10.1145/2063576.2063779

4. Gerben Klaas Dirk de Vries. 2013. A Fast Approximation of the Weisfeiler-Lehman Graph Kernel for RDF Data.. In ECML/PKDD (1). 10.1007/978-3-642-40988-2_39 Gerben Klaas Dirk de Vries. 2013. A Fast Approximation of the Weisfeiler-Lehman Graph Kernel for RDF Data.. In ECML/PKDD (1) . 10.1007/978-3-642-40988-2_39

5. Gerben Klaas Dirk de Vries and Steven de Rooij. 2013. A fast and simple graph kernel for RDF. In DMLOD. Gerben Klaas Dirk de Vries and Steven de Rooij. 2013. A fast and simple graph kernel for RDF. In DMLOD .

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