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
SINCERE: Sequential Interaction Networks representation lea..:
, In:
Proceedings of the ACM Web Conference 2023
,
Ye, Junda
;
Zhang, Zhongbao
;
Sun, Li
... - p. 360-371 , 2023
Link:
https://dl.acm.org/doi/10.1145/3543507.3583353
RT T1
Proceedings of the ACM Web Conference 2023
: T1
SINCERE: Sequential Interaction Networks representation learning on Co-Evolving RiEmannian manifolds
UL https://suche.suub.uni-bremen.de/peid=acm-3583353&Exemplar=1&LAN=DE A1 Ye, Junda A1 Zhang, Zhongbao A1 Sun, Li A1 Yan, Yang A1 Wang, Feiyang A1 Ren, Fuxin PB ACM YR 2023 K1 Riemannian geometry K1 dynamic embeddings K1 graph mining K1 graph neural network K1 sequential interaction network K1 Information systems K1 World Wide Web K1 Web applications K1 Social networks K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Learning latent representations K1 Information systems applications K1 Data mining SP 360 OP 371 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3543507.3583353 DO https://dl.acm.org/doi/10.1145/3543507.3583353 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)