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Open access Aug 2026

Multi-Scale Spatiotemporal Graph ODE Networks for Marine Chlorophyll-a Prediction

Chlorophyll-a concentration is a key indicator reflecting the growth status of phytoplankton, and its accurate prediction is of great significance for assessing the degree of water eutrophication. Although existing approaches have achieved good performance, they generally pay insufficient attention to multi-scale spati...

Xiaoyu He, Yijin Zhang, Xin Huang et al. · 0 citations
Open access Aug 2026

Heterogeneity-Aware Multi-Step Chlorophyll-a Forecasting for Marine Water Quality Monitoring Using a Multi-Scale Spatio-Temporal Mixture-of-Experts Network

Chlorophyll-a concentration (Chl-a) is a key indicator of marine water quality, phytoplankton biomass, and aquatic ecosystem status. Multi-step forecasting is challenging because Chl-a dynamics exhibit regional heterogeneity, multi-scale variability, and complex spatial dependence. Existing models often optimize domain...

Qianfan Dai, Xiaoyu He, Xiulin Geng et al. · 0 citations

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