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  RDF-4G: Algorithmic Building Blocks for Large-scale Graph Analytics

Seufert, S. (2013). RDF-4G: Algorithmic Building Blocks for Large-scale Graph Analytics. In L. Chen, & X. L. Dong (Eds.), SIGMOD’13 PhD Symposium (pp. 67-72). New York, NY: ACM. doi:10.1145/2483574.2483581.

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Genre: Conference Paper
Latex : {RDF-4G}: Algorithmic Building Blocks for Large-scale Graph Analytics

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 Creators:
Seufert, Stephan1, Author           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, Campus E1 4, 66123 Saarbrücken, DE, ou_24018              

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Language(s): eng - English
 Dates: 2013-06-232013
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Seufert2013a
DOI: 10.1145/2483574.2483581
Other: Local-ID: 24060B7FE63CE27FC1257B71003994B8-Seufert2013az
 Degree: -

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Title: SIGMOD/PODS PhD Symposium
Place of Event: New York, NY, USA
Start-/End Date: 2013-06-23 - 2013-06-23

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Source 1

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Title: SIGMOD’13 PhD Symposium
  Abbreviation : SIGMOD 2013
Source Genre: Proceedings
 Creator(s):
Chen, Lei1, Editor
Dong, Xin Luna1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 67 - 72 Identifier: ISBN: 978-1-4503-2155-6