Knowledge graphs (KGs) have rapidly emerged as an important area in AI over the last ten
years. Building on a storied tradition of graphs in the AI community, a KG may be simply …

Motivation The control of the diffusion of diseases is a critical subject of a broad research
area, which involves both clinical and political aspects. It makes wide use of computational …

Medical artificial intelligence (AI) systems have been remarkably successful, even
outperforming human performance at certain tasks. There is no doubt that AI is important to …

Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and
methods for mining patterns, knowledge, and models from various kinds of data for diverse …

Cobalt is widely recognized as a strategic mineral especially for current energy and low
carbon revolution. Nonetheless, the geographically concentrated supply makes reliable …

Those involved in making resilience strategies and planning are struggling to understand
the dynamic and complexity of urban areas and should be presented with a systematic tool …

The availability of empirical data that capture the structure and behaviour of complex
networked systems has been greatly increased in recent years; however, a versatile …

In this article I argue for a relational approach to the agency–structure problem. Structure
has three dimensions from this perspective but, at its most fundamental, it is a network …

This review article gives a high-level overview of the approaches across different scales of
organization and levels of abstraction. The studies covered in this paper include …

Neural message passing is a basic feature extraction unit for graph-structured data
considering neighboring node features in network propagation from one layer to the next …