Spatio-Temporal Graph Convolutional Network Incorporating Knowledge Graph Embeddings for Hydrological Time Series Prediction

This paper proposes a spatio-temporal graph convolutional network incorporating knowledge graph embeddings for hydrological time series prediction. A knowledge graph is constructed to integrate the spatio-temporal features of hydrological monitoring stations with external knowledge, and graph neural...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Xin Jin, Mengyuan Qin, Hao Duan
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2026-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Embedding learning flood warning hydrological prediction knowledge graph spatio-temporal graph convolutional network
Online-Zugang:	https://ieeexplore.ieee.org/document/11359589/
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