A Graph Neural Network with Spatio-Temporal Attention for Multi-Sources Time Series Data: An Application to Frost Forecast

Frost forecast is an important issue in climate research because of its economic impact on several industries. In this study, we propose GRAST-Frost, a graph neural network (GNN) with spatio-temporal architecture, which is used to predict minimum temperatures and the incidence of frost. We developed...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Hernan Lira, Luis Martí, Nayat Sanchez-Pi
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2022-02-01
Schriftenreihe:	Sensors
Schlagworte:	frost forecasting graph neural networks spatio-temporal attention
Online-Zugang:	https://www.mdpi.com/1424-8220/22/4/1486
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