HydroGraphNet boosts watershed predictions of daily flow and nitrogen in sparse data regions

Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of ...
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Knowledge-guided graph machine learning for spatially distributed prediction of daily discharge and nitrogen export dynamics

Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of agricultural watersheds. To address this need, a team of researchers led by the ...
IEEE

Hybrid Multimodal Knowledge Graph and Meta-Learning Framework for Accurate Dynamic RP-VRC Prediction in Renewable-Rich Power Systems

Abstract: Contemporary power grids with substantial renewable energy adoption face significant challenges in predicting dynamic reactive power-voltage response characteristics (RP-VRC) due to the ...
IEEE

Multi-modal Knowledge Graph Generation with Semantics-enriched Prompts

Multi-modal Knowledge Graphs (MMKGs) have been widely applied across various domains for knowledge representation. However, the existing MMKGs are significantly fewer than required, and their ...