The most common manifestation of neurological disorders in children is the occurrence of epileptic seizures. In this study, we propose a multi-branch graph convolutional network (MGCNA) framework with ...
Large Language Models (LLMs) like GPT-4, Qwen2, and LLaMA have revolutionized artificial intelligence, particularly in natural language processing. These Transformer-based models, trained on vast ...
Abstract: In recent years, graph-based dimensionality reduction methods became increasingly more significant since they have been successfully applied in various computer vision and machine learning ...
A holy grail of theoretical computer science, with numerous fundamental implications to more applied areas of computing such as operations research and artificial intelligence, is the question of ...
Abstract: Graphs classification is a relevant problem that arises in many disciplines. Using graphs directly instead of vectorization allows exploiting the intrinsic representations of the data.
Stories evolve. But a recent review proved to a theater critic that people can change even more. By Jesse Green Jesse Green has been a theater critic at The Times since 2017. Times Insider explains ...
Objectives To assess the effectiveness of bar graph, pictograph and line graph compared with text-only, and to each other, for communicating prognosis to the public. Design Two online four-arm ...
The use of diagrams can be effective in solving mathematical word problems solving. However, students worldwide do not construct diagrams unprompted or have trouble using them. In the present study, ...
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