Variable refrigerant flow (VRF) systems are constantly prone to failures during their lifespan,
causing breakdowns, high energy bills, and indoor discomfort. In addition to correctly …

Graph representation learning has recently garnered significant attention due to its wide
applications in graph analysis tasks. It is well-known that real-world networks are dynamic …

This study harnesses the predictive capabilities of machine learning to explore the
determinants of obesity within populations from Mexico, Peru, and Colombia, using a …

A protein complex can be regarded as a functional module developed by interacting
proteins. The protein complex has attracted significant attention in bioinformatics as a critical …

This study employed machine learning techniques to predict the rate of feline infectious
peritonitis (FIP) diagnoses, with a specific focus on mutations in the spike protein gene of the …

In today's world, the science of bioinformatics is develo** rapidly, especially with regard to
the analysis and study of biological networks. Scientists have used various nature-inspired …

In drug development, drug-target affinity (DTA) prediction is a key indicator for assessing the
drug's efficacy and safety. Despite significant progress in deep learningbased affinity …

How to efficiently get subgraphs that match the given query graph on large-scale graphs has
become a hot topic in both academia and industry. Subgraph matching, as an important …

Malaria remains a critical global health challenge, particularly in tropical and subtropical
regions. Early and accurate diagnosis is essential for effective treatment and control …

The development of information systems to ensure the safe coordination of information flows
in scientific and industrial clusters makes it possible to automate a number of tasks aimed at …