Networks have provided extremely successful models of data and complex systems. Yet, as
combinatorial objects, networks do not have in general intrinsic coordinates and do not …

We present a multilayer network model for credit risk assessment. Our model accounts for
multiple connections between borrowers (such as their geographic location and their …

Network embedding approaches are gaining momentum to analyse a large variety of
networks. Indeed, these approaches have demonstrated their effectiveness in tasks such as …

Objective Patients with comorbidities are highly prone to mortality risk than those suffering
from a single disease. Therefore, quantification and prediction of disease comorbidities is …

In this paper, we describe an embedding-based entity recommendation framework for
Wikipedia that organizes Wikipedia into a collection of graphs layered on top of each others …

Link prediction can be used to extract missing information, identify spurious interactions as
well as forecast network evolution. Network embedding is a methodology to assign …

Background Gene expression is regulated at different molecular levels, including chromatin
accessibility, transcription, RNA maturation, and transport. These regulatory mechanisms …

The ubiquity of social media has transformed online interactions among individuals. Despite
positive effects, it has also allowed anti-social elements to unite in alternative social media …

Animal behaviour is often modelled as networks, where, for example, the nodes are
individuals of a group and the edges represent behaviour within this group. Different types of …

To support accurate personalized online intelligent education applications in the big data
environment, computable online learner modeling is very important. It can accurately …