In this article, we provide a comprehensive introduction to knowledge graphs, which have
recently garnered significant attention from both industry and academia in scenarios that …

Background Social media tools have provided health researchers with the opportunity to
engage with communities and groups in a nonconventional manner to recruit participants for …

Many widely used datasets for graph machine learning tasks have generally been
homophilous, where nodes with similar labels connect to each other. Recently, new Graph …

Abstract Health Professions Education (HPE) has benefitted from the advances in Artificial
Intelligence (AI) and is set to benefit more in the future. Just as any technological advance …

Synthetic data has been advertised as a silver-bullet solution to privacy-preserving data
publishing that addresses the shortcomings of traditional anonymisation techniques. The …

Internet of Things (IoT) allows billions of physical objects to be connected to collect and
exchange data for offering various applications, such as environmental monitoring …

The world is resorting to the Internet of Things (IoT) for ease of control and monitoring of
smart devices. The ubiquitous use of IoT ranges from industrial control systems (ICS) to e …

Generative models estimate the underlying distribution of a dataset to generate realistic
samples according to that distribution. In this paper, we present the first membership …

Besides attracting a billion dollar economy, Bitcoin revolutionized the field of digital
currencies and influenced many adjacent areas. This also induced significant scientific …

Releasing social network data could seriously breach user privacy. User profile and
friendship relations are inherently private. Unfortunately, sensitive information may be …