An improved graph neural network integrating indicator attention and spatio-temporal correlation for dissolved oxygen prediction
Accurately predicting dissolved oxygen (DO) is essential for water environment protection and management. The spatiotemporal dependencies of water quality and the interactions between indicators are neglected in existing prediction models. To improve the DO prediction accuracy, a graph neural networ...
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| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-07-01
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| Series: | Ecological Informatics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1574954125001359 |
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