In recent years, artificial intelligence (AI) has drawn significant attention with respect to its
applications in several scientific fields, varying from big data handling to medical diagnosis …

Influence Maximization (IM) is a classical combinatorial optimization problem, which can be
widely used in mobile networks, social computing, and recommendation systems. It aims at …

Achieving interpretable embedding of real network has a significant impact on network
analysis tasks. However, majority of node embedding-based methods seldom consider the …

It is a crucial algorithmic challenge in influence analysis to choose k important members to
maximize the influence spread. This is known as the influence maximization (IM) problem in …

Social network analysis is a rapidly evolving research area having several real-life
application areas, eg digital marketing, epidemiology, spread of misinformation. Influence …