Customer churn is a major problem and one of the most important concerns for large
companies. Due to the direct effect on the revenues of the companies, especially in the …

In many different classification tasks it is required to manage structured data, which are
usually modeled as graphs. Moreover, these graphs can be dynamic, meaning that the …

Crowdfunding--in which people can raise funds through collaborative contributions of
general public (ie, crowd)--has emerged as a billion dollars business for supporting more …

Demographics are widely used in marketing to characterize different types of customers.
However, in practice, demographic information such as age, gender, and location is usually …

Rating prediction is a classic problem underlying recommender systems. It is traditionally
tackled with matrix factorization. Recently, deep learning based methods, especially graph …

Bots, or programs designed to engage in social spaces and perform automated tasks, are
typically understood as automated tools or as social" chatbots." In this paper, we consider …

Friend recommendation is an important recommender application in social media. Major
social websites such as Twitter and Facebook are all capable of recommending friends to …

Scientists may encounter many collaborators of different academic ages throughout their
careers. Thus, they are required to make essential decisions to commence or end a creative …

Understanding the complex process of information spread in online social networks (OSNs)
enables the efficient maximization/minimization of the spread of useful/harmful information …

Real-time monitoring of groups and their rich contexts will be a key building block for
futuristic, group-aware mobile services. In this paper, we propose GruMon, a fast and …