Positive predictive value was higher with MELD Graph compared with existing baseline algorithm. HealthDay News — A graph neural network using data from the Multicenter Epilepsy Lesion Detection ...

Implementation of Deep Statistical Solver for Distribution System State Estimation ...

In this monograph, the authors present a comprehensive overview on Graph Neural Networks (GNNs) for Natural Language Processing. They propose a new taxonomy of GNNs for NLP, which systematically ...

Abstract: Recurrent stochastic configuration networks (RSCNs) are a type of randomized learner models that have shown promise in modeling nonlinear dynamics. In many fields, however, the data ...

This valuable study shows that an odorant that is typically thought of as a repellant actually activates both attractant and repellant olfactory neurons in C. elegans. Solid evidence is provided that ...

Network models are a computer architecture, implementable in either hardware or software, meant to simulate biological populations of interconnected neurons. These models, also known as ...

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