Modern, inherently dynamic systems are usually characterized by a network structure which
is subject to discrete changes over time. Given a static underlying graph, a temporal graph …

Using temporal abstraction, various forms of sampled multivariate temporal data can be
transformed into a uniform representation of symbolic time intervals, from which Time …

We study here the problem of exploring a temporal graph when the underlying graph is a
star. The aim of the exploration problem in a temporal star is finding a temporal walk which …

Abstract Mining frequent Time Intervals-Related Patterns (TIRPs) from series of symbolic
time intervals offers a comprehensive framework for heterogeneous, multivariate temporal …

Sequences of event intervals occur in several application domains, while their inherent
complexity hinders scalable solutions to tasks such as clustering and classification. In this …

Abstract Information Networks are collections of data structures that are used to model
interactions in social and living phenomena. They can be either homogeneous or …