I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Entity Alignment for Knowledge Graphs With Multi-Order Conv..:
Tam, Nguyen Thanh
;
Trung, Huynh Thanh
;
Yin, Hongzhi
...
IEEE Transactions on Knowledge and Data Engineering. 34 (2022) 9 - p. 4201-4214 , 2022
Link:
https://doi.org/10.1109/tkde.2020.3038654
RT Journal T1
Entity Alignment for Knowledge Graphs With Multi-Order Convolutional Networks
UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_tkde.2020.3038654&Exemplar=1&LAN=DE A1 Tam, Nguyen Thanh A1 Trung, Huynh Thanh A1 Yin, Hongzhi A1 Van Vinh, Tong A1 Sakong, Darnbi A1 Zheng, Bolong A1 Hung, Nguyen Quoc Viet PB Institute of Electrical and Electronics Engineers (IEEE) YR 2022 SN 1041-4347 SN 1558-2191 SN 2326-3865 JF IEEE Transactions on Knowledge and Data Engineering VO 34 IS 9 SP 4201 OP 4214 LK http://dx.doi.org/https://doi.org/10.1109/tkde.2020.3038654 DO https://doi.org/10.1109/tkde.2020.3038654 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)