Early prediction of COVID-19 infected communities (potential hotspots) is essential to limit
the spread of virus. Diagnostic testing has limitations in big populations because it cannot …

The information spread uses a social media platform, where one user intends to share
information with others intentionally or non-intentionally. The rapid spread of information on …

Online hiring and unpredictable job movement in the IT sector provides a need to analyze
the pattern of movement of software professionals. Career trajectory is the trace of the list of …

The Girvan-Newman (GN) method is one of the most popular methods for detecting
communities. However, the method is applied to graphs with only positive weights, while …

Graph Neural Networks (GNNs) have evolved as a powerful tool for understanding and
processing graphical data. However, their effectiveness is often hindered by the …

According to graph theory, the complex network is transformed into graph structure data to
process the convolutional neural network efficiently and conveniently. The convolution …

Multi-attribute networks are complex systems that can record connections between items
based on a range of qualities. These networks have a wide range of applications, including …

Community detection is an important issue in studying network structure and network
characteristics. It has received widespread attention in many fields. Most existing community …