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 Contrastive Learning Reimagined: Exploring Universali..:
, In:
Proceedings of the ACM on Web Conference 2024
,
Zhuo, Jiaming
;
Cui, Can
;
Fu, Kun
... - p. 641-651 , 2024
Link:
https://dl.acm.org/doi/10.1145/3589334.3645480
RT T1 <cTitle>Proceedings of the ACM on Web Conference 2024</cTitle>: T1 <Title>Graph Contrastive Learning Reimagined: Exploring Universality</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3645480&Exemplar=1&LAN=DE A1 Zhuo, Jiaming A1 Cui, Can A1 Fu, Kun A1 Niu, Bingxin A1 He, Dongxiao A1 Wang, Chuan A1 Guo, Yuanfang A1 Wang, Zhen A1 Cao, Xiaochun A1 Yang, Liang PB ACM YR 2024 K1 graph contrastive learning K1 graph neural networks K1 graph self-supervised learning K1 Networks K1 Network algorithms K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Unsupervised learning SP 641 OP 651 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3589334.3645480 DO https://dl.acm.org/doi/10.1145/3589334.3645480 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
