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Title:
A hierarchical knowledge graph embedding framework for link prediction
Authors:
ID
Liu, Shuang
(
Author
)
ID
Hou, Chengwang
(
Author
)
ID
Meng, Jiana
(
Author
)
ID
Chen, Peng
(
Author
)
ID
Kolmanič, Simon
(
Author
)
Files:
A_Hierarchical_Knowledge_Graph_Embedding_Framework_for_Link_Prediction.pdf
(1,76 MB)
MD5: D634D1CB9E431F3CD4D0E561792D6080
Language:
English
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Keywords:
knowledge graph embedding
,
knowledge graph completion
,
negative sampling
,
link prediction
Publication status:
Published
Publication version:
Version of Record
Submitted for review:
29.10.2024
Article acceptance date:
15.11.2024
Publication date:
29.11.2024
Publisher:
IEEE ACCESS
Year of publishing:
2024
Number of pages:
str. 173338 - 173350
Numbering:
Vol. 12
PID:
20.500.12556/DKUM-91780
UDC:
004.4
ISSN on article:
2169-3536
COBISS.SI-ID:
219524099
DOI:
10.1109/ACCESS.2024.3502450
Copyright:
2024 The Authors.
Publication date in DKUM:
04.02.2025
Views:
178
Downloads:
10
Metadata:
Categories:
Misc.
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Record is a part of a journal
Title:
IEEE access
Publisher:
Institute of Electrical and Electronics Engineers
ISSN:
2169-3536
COBISS.SI-ID:
519839513
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Secondary language
Language:
Slovenian
Keywords:
grafi znanja
,
simboli
,
dekodiranje
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