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 ...
EurekAlert!

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 ...
Journal of Medical Internet Research

From Knowledge Graphs to Digital Twins: Perspectives on Modeling Patient Outcomes for Health Care Quality Assessment

Focus is placed on the applicability of graph-based methods, including knowledge graphs and health digital twins, to improve quality management in health care. We have presented a clinical scenario ...
IEEE

A Comprehensive Survey of Knowledge Graph Reasoning: Approaches and Applications

Abstract: Knowledge graph reasoning (KGR) aims to infer novel knowledge based on existing facts in knowledge graphs (KGs), playing a crucial role in various cognition intelligence systems across ...