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
Graph Convolutional Network with Learnable Message Propagat..:
, In:
2023 9th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS)
,
Cai, Hai-Chun
;
Lin, Yue-Na
;
Zhang, Chun-Yang
- p. 1-5 , 2023
Link:
https://doi.org/10.1109/ICCSS58421.2023.10270547
RT T1
2023 9th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS)
: T1
Graph Convolutional Network with Learnable Message Propagation Mechanism
UL https://suche.suub.uni-bremen.de/peid=ieee-10270547&Exemplar=1&LAN=DE A1 Cai, Hai-Chun A1 Lin, Yue-Na A1 Zhang, Chun-Yang YR 2023 SN 2639-4235 K1 Training K1 Representation learning K1 Adaptation models K1 Convolution K1 Network topology K1 Aggregates K1 Graph neural networks K1 graph neural network K1 message propagation mechanism K1 node classification SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICCSS58421.2023.10270547 DO https://doi.org/10.1109/ICCSS58421.2023.10270547 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)