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
ConsisRec: Enhancing GNN for Social Recommendation via Cons..:
, In:
Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
,
Yang, Liangwei
;
Liu, Zhiwei
;
Dou, Yingtong
.. - p. 2141-2145 , 2021
Link:
https://dl.acm.org/doi/10.1145/3404835.3463028
RT T1
Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
: T1
ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation
UL https://suche.suub.uni-bremen.de/peid=acm-3463028&Exemplar=1&LAN=DE A1 Yang, Liangwei A1 Liu, Zhiwei A1 Dou, Yingtong A1 Ma, Jing A1 Yu, Philip S. PB ACM YR 2021 K1 graph neural network K1 recommender system K1 social recommendation K1 Information systems K1 World Wide Web K1 Web searching and information discovery K1 Social recommendation K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks SP 2141 OP 2145 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3404835.3463028 DO https://dl.acm.org/doi/10.1145/3404835.3463028 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)