In this paper, we explore the emerging role of graph neural networks (GNNs) in optimizing
routing for next-generation communication networks. Traditional routing protocols, such as …

The convergence of Artificial Intelligence (AI) and neuroscience is redefining our
understanding of the brain, unlocking new possibilities in research, diagnosis, and therapy …

Alzheimer's disease is an irreversible central neurodegenerative disease, and early
diagnosis of Alzheimer's disease is beneficial for its prevention and early intervention …

Recent studies on integrating multiple omics data highlighted the potential to advance our
understanding of the cancer disease process. Computational models based on graph neural …

Cancer is a complex disease driven by mutations in the genes that play critical roles in
cellular processes. The identification of cancer driver genes is crucial for understanding …

Background: Alzheimer's disease is a progressive neurological condition marked by a
decline in cognitive abilities. Early diagnosis is crucial but challenging due to overlap** …

Knowledge graphs (KGs) possess a vital role in enhancing the semantic comprehension of
extensive datasets across many fields. It facilitate activities like recommendation systems …

Introduction and objectives: In today's world, accessibility and security of banking services
for all members of society, particularly vulnerable groups such as the blind, are of utmost …

Sequential recommendation systems are created to predict the next item a user will likely
interact with using temporal patterns and contextual information learned from historical user …

1044 Особенности организации игрового взаимодействия асимметричных а Page 1
Научно-технический вестник информационных технологий, механики и оптики, 2024, том …