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
Toward Enhanced Robustness in Unsupervised Graph Representa..:
Wang, Jihong
;
Luo, Minnan
;
Li, Jundong
...
IEEE Transactions on Knowledge and Data Engineering. 36 (2024) 8 - p. 4290-4303 , 2024
Link:
https://doi.org/10.1109/tkde.2023.3330684
RT Journal T1 <Title>Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_tkde.2023.3330684&Exemplar=1&LAN=DE A1 Wang, Jihong A1 Luo, Minnan A1 Li, Jundong A1 Liu, Ziqi A1 Zhou, Jun A1 Zheng, Qinghua PB Institute of Electrical and Electronics Engineers (IEEE) YR 2024 SN 1041-4347 SN 1558-2191 SN 2326-3865 JF IEEE Transactions on Knowledge and Data Engineering VO 36 IS 8 SP 4290 OP 4303 LK http://dx.doi.org/https://doi.org/10.1109/tkde.2023.3330684 DO https://doi.org/10.1109/tkde.2023.3330684 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
