- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource, 1 online resource.
- Sprache
-
Englisch
- Erschienen in
-
COVID-19 infection inference with graph neural networks ; volume:13 ; number:1 ; day:15 ; month:7 ; year:2023 ; pages:1-9 ; date:12.2023
Scientific reports ; 13, Heft 1 (15.7.2023), 1-9, 12.2023
- Urheber
-
Song, Kyungwoo
Park, Hojun
Lee, Junggu
Kim, Arim
Jung, Jaehun
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-023-38314-3
- URN
-
urn:nbn:de:101:1-2023102408424870612880
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:51 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Song, Kyungwoo
- Park, Hojun
- Lee, Junggu
- Kim, Arim
- Jung, Jaehun
- SpringerLink (Online service)
Ähnliche Objekte (12)
Implementing Bayesian Inference with Neural Networks
Explaining Graph Neural Networks
Optimizing High-Throughput Inference on Graph Neural Networks at Shared Computing Facilities with the NVIDIA Triton Inference Server
Thermodynamics-consistent graph neural networks
Maneuver Prediction Using Traffic Scene Graphs via Graph Neural Networks and Recurrent Neural Networks
Imperceptible graph injection attack on graph neural networks
Describing neural networks with graph transformations
Describing neural networks with graph transformations
Hierarchical message-passing graph neural networks
Adversarial Robustness of Graph Neural Networks
Learning to explain graph neural networks
Graph neural networks for combinatorial optimization problems on graphs
Implementing Bayesian Inference with Neural Networks
Explaining Graph Neural Networks
Optimizing High-Throughput Inference on Graph Neural Networks at Shared Computing Facilities with the NVIDIA Triton Inference Server
Thermodynamics-consistent graph neural networks
Maneuver Prediction Using Traffic Scene Graphs via Graph Neural Networks and Recurrent Neural Networks
Imperceptible graph injection attack on graph neural networks
Describing neural networks with graph transformations
Describing neural networks with graph transformations
Hierarchical message-passing graph neural networks
Adversarial Robustness of Graph Neural Networks
Learning to explain graph neural networks
Graph neural networks for combinatorial optimization problems on graphs
Implementing Bayesian Inference with Neural Networks
Explaining Graph Neural Networks
Optimizing High-Throughput Inference on Graph Neural Networks at Shared Computing Facilities with the NVIDIA Triton Inference Server
Thermodynamics-consistent graph neural networks
Maneuver Prediction Using Traffic Scene Graphs via Graph Neural Networks and Recurrent Neural Networks
Imperceptible graph injection attack on graph neural networks
Describing neural networks with graph transformations
Describing neural networks with graph transformations
Hierarchical message-passing graph neural networks
Adversarial Robustness of Graph Neural Networks
Learning to explain graph neural networks