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
Quaternion-Based Graph Contrastive Learning for Recommendat..:
, In:
2022 International Joint Conference on Neural Networks (IJCNN)
,
Fang, Yaxing
;
Zhao, Pengpeng
;
Xian, Xuefeng
... - p. 1-8 , 2022
Link:
https://doi.org/10.1109/IJCNN55064.2022.9892020
RT T1
2022 International Joint Conference on Neural Networks (IJCNN)
: T1
Quaternion-Based Graph Contrastive Learning for Recommendation
UL https://suche.suub.uni-bremen.de/peid=ieee-9892020&Exemplar=1&LAN=DE A1 Fang, Yaxing A1 Zhao, Pengpeng A1 Xian, Xuefeng A1 Fang, Junhua A1 Liu, Guanfeng A1 Liu, Yanchi A1 Sheng, Victor S. YR 2022 SN 2161-4407 K1 Representation learning K1 Convolution K1 Quaternions K1 Neural networks K1 Distortion K1 Data models K1 Task analysis K1 Recommender Systems K1 Graph Neural Network K1 Quaternion Embedding K1 Contrastive Learning SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/IJCNN55064.2022.9892020 DO https://doi.org/10.1109/IJCNN55064.2022.9892020 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)