Skip to content
VuFind
Book Bag:
0
items
(Full)
Institutional Login
Language
English
Deutsch
All Fields
Title
Author
Subject
ISBN/ISSN
K10+-PPN
OCLC Number
Find
Advanced
Start
Learning neural graph represen...
Cite this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Export to RDF
Export to BibTeX
Export to RIS
Save to List
Permanent link
Learning neural graph representations in non-Euclidean geometries
Show other versions (1)
Saved in:
Bibliographic Details
Main Author:
López, Federico
(Author)
Format:
Book/Monograph
Thesis
Language:
English
Published:
Heidelberg
[2022?]
Subjects:
Hochschulschrift
Online Access:
Author Notes:
vorgelegt von Federico López ; Referent: Prof. Dr. Michael Strube, Korreferent: Prof. Dr. Anette Frank, Korreferent: Prof. Dr. Anna Wienhard
Description
Other Versions (1)
Staff View
Description
Description not available.
Similar Items
Learning neural graph representations in non-Euclidean geometries
by: López, Federico
Published: (2022)
Spanning trees in randomly perturbed graphs
by: Joos, Felix, et al.
Published: (2020)
Bounded cohomology and geometry
by: Wienhard, Anna
Published: (2004)
Parametric representation of noncommutative field theory
by: Gurǎu, Rǎzvan, et al.
Published: (2007)
Shannon graphs, subshifts and lambda-graph systems
by: Krieger, Wolfgang, et al.
Published: (2007)