Abstract: In recent years, Graph Neural Networks (GNNs) have emerged as a powerful tool for learning on graph-structured data, achieving significant success across various fields. Most existing GNNs ...
Abstract: Accurate and efficient cellular traffic prediction is crucial for enhancing the user quality of experience in mobile networks. However, this task faces significant challenges due to the ...
The framework of GF-Fusion. (1) Graph-level structure fusion: we first construct gene-gene graphs based on multi-omics data, integrate multi-omics information using SNF, and optimize the graph ...
Like many of us, [Tim]’s seen online videos of circuit sculptures containing illuminated LED filaments. Unlike most of us, however, he went a step further by using graph theory to design glowing ...
An emerging body of multidisciplinary literature has documented the beneficial influence of physical activity engendered through aerobic exercise on selective aspects of brain function. Human and ...
As the MDGs era comes to a conclusion with the end of the year, 2016 ushers in the official launch of the bold and transformative 2030 Agenda for Sustainable Development adopted by world leaders last ...
Michael Boyle is an experienced financial professional with more than 10 years working with financial planning, derivatives, equities, fixed income, project management, and analytics. David is ...
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