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Reasoning on graph-structured data with deep-learning, path-based methods, and tensor factorization
Reasoning on graph-structured data with deep-learning, path-based methods, and tensor factorization
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Hildebrandt, Marcel
2021
English
Universitätsbibliothek der Ludwig-Maximilians-Universität München
Hildebrandt, Marcel (2021): Reasoning on graph-structured data with deep-learning, path-based methods, and tensor factorization. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics
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DOI: 10.5282/edoc.27657
URN: urn:nbn:de:bvb:19-276577

Item Type:Theses (Dissertation, LMU Munich)
Subjects:000 Computers, Information and General Reference
000 Computers, Information and General Reference > 004 Data processing computer science
Faculties:Faculty of Mathematics, Computer Science and Statistics
Language:English
Date of oral examination:19. March 2021
1. Referee:Tresp, Volker
MD5 Checksum of the PDF-file:f77366f95c9acfe11d4699bfb425f46a
Signature of the printed copy:0001/UMC 27824
ID Code:27657
Deposited On:31. Mar 2021 10:12
Last Modified:07. Apr 2021 09:26
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