The authors propose a Hybrid Time-Varying Graph Neural Network (HTVGNN) to improve traffic flow predictions. Traditional methods based on graph neural networks (GNNs) have limitations in capturing spatial correlations in…
Continue readingThis paper presents a new method for disease prediction using graph convolutional networks. Specifically, it focuses on the prediction of neurodevelopmental and neurodegenerative brain disorders, such as autism spectrum disorder…
Continue readingThe study proposes a new method called TMac for acoustic event classification. This method uses temporal multi-modal graph learning to improve the processing of audiovisual data in deep learning models….
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