Influence maximization (IM) is formulated as selecting a set of initial users from a social
network to maximize the expected number of influenced users. Researchers have made great …

2.1 Abstract Nowadays, social influence is ubiquitous in everyday life, online social networks
have become a focal point for research in science. Formal mathematical models for the …

In Graph Neural Networks (GNNs), the graph structure is incorporated into the learning of
node representations. This complex structure makes explaining GNNs' predictions become …

One fundamental problem in wireless sensor networks is the coverage problem, which reflects
the quality of service that can be provided by a particular sensor network. The coverage …

Connected Dominating Set (CDS) has been proposed as the virtual backbone to alleviate
the broadcasting storm in wireless ad hoc networks. Most recent research has extensively …

Influence Maximization (IM), that seeks a small set of key users who spread the influence
widely into the network, is a core problem in multiple domains. It finds applications in viral …

AI and blockchain are among the most disruptive technologies and will fundamentally reshape
how we live, work, and interact. The authors summarize existing efforts and discuss the …

With their blistering expansions in recent years, popular on-line social sites such as Twitter,
Facebook and Bebo, have become some of the major news sources as well as the most …

Power networks and information systems become more and more interdependent to ensure
better supports for the functionality as well as improve the economy. However, power …

Social networks exhibit a very special property: community structure. Understanding the
network community structure is of great advantages. It not only provides helpful information in …