Graph Convolutional Networks

HBM: Spatial-Temporal Graph Convolutional Networks for Alzheimer’s Diagnosis Using Brain Functional Connectivity

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HBM: Spatial-Temporal Graph Convolutional Networks for Alzheimer's Diagnosis Using Brain Functional Connectivity

Written by︱Dan Xiaocai, Cao Jun, Zhao Yifan Editor︱Wang Sizhen Edited by︱Yang Binwei Alzheimer’s disease (Alzheimer’s disease, AD) is the most common form of dementia, leading to memory loss and cognitive impairment. According to the World Health Organization, over 55 million people are currently diagnosed with some form of dementia[1, 2]. The increasing global aging population … Read more

Quality Control of Environmental Sensor Networks Using GNN

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Quality Control of Environmental Sensor Networks Using GNN

Focus onEarth andHumanArtificial Intelligence,SetEarthAi Star Quality Control of Environmental Sensor Networks Using Graph Neural Networks DOI: https://doi.org/10.1175/AIES-D-24-0032.1 Research Background Environmental sensor networks play a crucial role in monitoring key parameters of the Earth system. Effective quality control (QC) measures are essential to ensure the reliability and accuracy of the collected data. Traditional QC methods struggle … Read more