Link prediction is one of the most widely studied problems in the area of complex network
analysis, in which machine learning techniques can be applied to deal with it. The biggest …

In recent decades, the improvement of computer technology has increased the growth of
high-dimensional microarray data. Thus, data mining methods for DNA microarray data …

The identification of protein complexes in protein-protein interaction networks is the most
fundamental and essential problem for revealing the underlying mechanism of biological …

Link prediction aims to anticipate the probability of a future connection between two nodes in
a given network based on their previous interactions and the network structure. Link …

Complex networks are representations of real-world systems that can be better modeled as
multiplex networks, where the same nodes develop multi-type connections. One of the …

Fake reviews have become prevalent on various social networks such as e-commerce and
social media platforms. As fake reviews cause a heavily negative influence on the public …

Link prediction is a widely studied topic in graph data analytics and finds numerous
applications like friend recommendations in social networks and product recommendations …

In existing deep clustering methods, it is assumed that all generated representations are
equally important during the clustering procedure. However, if the model can't learn proper …

Online social networks are an integral element of modern societies and significantly
influence the formation and consolidation of social relationships. In fact, these networks are …

Abstract The development of Management Information Systems (MIS) is impossible without
the use of machine learning (ML). It's a type of Artificial Intelligence (AI) that makes …