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
Deep Learning Meets Graph Theory: A Novel Approach to Gener..:
, In:
2024 21st Learning and Technology Conference (L&T)
,
Ud Din, Aafaq Mohi
;
Qureshi, Shaima
;
Raheem, Mohamed Mahees
- p. 302-307 , 2024
Link:
https://doi.org/10.1109/LT60077.2024.10469483
RT T1
2024 21st Learning and Technology Conference (L&T)
: T1
Deep Learning Meets Graph Theory: A Novel Approach to Generating Embeddings for Recommender Systems
UL https://suche.suub.uni-bremen.de/peid=ieee-10469483&Exemplar=1&LAN=DE A1 Ud Din, Aafaq Mohi A1 Qureshi, Shaima A1 Raheem, Mohamed Mahees YR 2024 K1 Heating systems K1 Deep learning K1 Visualization K1 Art K1 Neural networks K1 Benchmark testing K1 Robustness K1 Learning on graphs K1 Over-Smoothing K1 Bipartite graph K1 Cold start problem SP 302 OP 307 LK http://dx.doi.org/https://doi.org/10.1109/LT60077.2024.10469483 DO https://doi.org/10.1109/LT60077.2024.10469483 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)