The recent explosive development of knowledge graphs (KGs) in artificial intelligence tasks
coupled with incomplete or partial information has triggered considerable research interest …

Looking from a global perspective, the landscape of online social networks is highly
fragmented. A large number of online social networks have appeared, which can provide …

Social media such as blogs, Facebook, Flickr, etc., presents data in a network format rather
than classical IID distribution. To address the interdependency among data instances …

Two characteristics of location-based services are mobile trajectories and the ability to
facilitate social networking. The recording of trajectory data contributes valuable resources …

Location-based social networks (LBSNs) have been studied extensively in recent years.
However, utilizing real-world LBSN datasets in such studies has severe weaknesses: sparse …

This paper addresses social network embedding, which aims to embed social network
nodes, including user profile information, into a latent low-dimensional space. Most of the …

In recent years, there is a growing interest in using social media to understand social
phenomena. Researchers have demonstrated many important applications of using online …

Abstract Location-based Social Networks (LBSN) such as Foursquare have become
ubiquitous due to the vast spread of smart mobile devices. The users of LBSN can check in …

Social networks are heterogeneous systems composed of different types of nodes (eg users,
content, groups, etc.) and relations (eg social or similarity relations). While learning and …

Social world knowledge is a key ingredient in effective communication and information
processing by humans and machines alike. As of today, there exist many knowledge bases …