The paper discusses a new approach to target sentiment classification (TSC) leveraging pre-trained language models (PTLMs). The researchers argue that existing PTLM-based models have limitations. They propose a solution that…
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 readingThis academic article discusses the limitations of Graph Neural Networks (GNNs) in discerning higher-order interactions in complex systems. A novel approach is proposed, which uses the mathematical theory of simplicial…
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