Abstract: Neuroimaging analysis aims to reveal the information-processing mechanisms of the human brain in a noninvasive manner. In the past, graph neural networks (GNNs) have shown promise in ...
Background: Alzheimer’s disease (AD) requires early intervention at preclinical stages like subjective memory complaints (SMC). Traditional static brain network analyses lack sensitivity to detect ...
1 School of Aerospace Engineering, Nanchang Hangkong University, Nanchang, China. 2 School of Power and Energy, Nanchang Hangkong University, Nanchang, China. This paper investigates the dynamic ...
The relationship between protein dynamics and function is essential for understanding biological processes and developing effective therapeutics. Functional sites within proteins are critical for ...
Abstract: Detecting anomalies in a temporal sequence of graphs can be applied is areas such as the detection of accidents in transport networks and cyber attacks in computer networks. Existing methods ...
Classic Graph Convolutional Networks (GCNs) often learn node representation holistically, which would ignore the distinct impacts from different neighbors when aggregating their features to update a ...
1 Oxford University, Oxford Centre for Functional MRI of the Brain, United Kingdom 2 Emirates College for Advanced Education, Cognitive Neuroimaging Unit, United Arab Emirates Introduction There is ...
A new analysis that began under the Biden administration is released by the C.I.A.’s new director, John Ratcliffe, who wants the agency to get “off the sidelines” in the debate. By Julian E. Barnes ...
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