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 Fairness Learning under Distribution Shifts:
, In:
Proceedings of the ACM Web Conference 2024
,
Li, Yibo
;
Wang, Xiao
;
Xing, Yujie
... - p. 676-684 , 2024
Link:
https://dl.acm.org/doi/10.1145/3589334.3645508
RT T1 <cTitle>Proceedings of the ACM Web Conference 2024</cTitle>: T1 <Title>Graph Fairness Learning under Distribution Shifts</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3645508&Exemplar=1&LAN=DE A1 Li, Yibo A1 Wang, Xiao A1 Xing, Yujie A1 Fan, Shaohua A1 Wang, Ruijia A1 Liu, Yaoqi A1 Shi, Chuan PB ACM YR 2024 K1 distribution shifts K1 fairness K1 graph neural networks K1 Networks K1 Network algorithms K1 Computing methodologies K1 Machine learning SP 676 OP 684 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3589334.3645508 DO https://dl.acm.org/doi/10.1145/3589334.3645508 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
