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
Enhancing Heterophilic Graph Neural Network Performance Thr..:
, In:
2024 IEEE International Conference on Big Data and Smart Computing (BigComp)
,
Park, Hyun Seok
;
Park, Ha-Myung
- p. 337-344 , 2024
Link:
https://doi.org/10.1109/BigComp60711.2024.00060
RT T1
2024 IEEE International Conference on Big Data and Smart Computing (BigComp)
: T1
Enhancing Heterophilic Graph Neural Network Performance Through Label Propagation in K-Nearest Neighbor Graphs
UL https://suche.suub.uni-bremen.de/peid=ieee-10488192&Exemplar=1&LAN=DE A1 Park, Hyun Seok A1 Park, Ha-Myung YR 2024 SN 2375-9356 K1 Training K1 Deep learning K1 Computational modeling K1 Artificial neural networks K1 Big Data K1 Graph neural networks K1 Data models K1 Label Propagation K1 Graph Neural Network K1 Het-erophilic graph K1 k-NN graph K1 Graph Autoencoder SP 337 OP 344 LK http://dx.doi.org/https://doi.org/10.1109/BigComp60711.2024.00060 DO https://doi.org/10.1109/BigComp60711.2024.00060 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)