Abstract: With the advancements in technology and monitoring tools, we often encounter multivariate graph signals, which can be seen as the realizations of multivariate graph processes, and revealing ...

Abstract: Graph learning from stationary multivariate time series typically involves hypothesis testing based on test statistics defined over the full frequency range or just a discrete set of ...

Accurate prediction of short-term passenger flow is very important for rational planning and stable operation of cities, however, the problem of passenger flow prediction faces many challenges, ...

This is a tool that interactively explores the DBPedia Knowledge Graph. The user inputs a list of people, companies, places, etc. and entities in DBPedia are identified using SPARQL queries and a ...

There's no shortage of plugins that promise to be THE all-in-one solution for all things SEO. Unfortunately, this often means lack of flexibility, confusing implementation, or just a big, bloated ...

The majority of diseases that are a significant challenge for public and individual heath are caused by a combination of hereditary and environmental factors. In this paper we introduce Lineage, a ...

The following example employs multivariate analysis of variance (MANOVA) to measure differences in the chemical characteristics of ancient pottery found at four kiln sites in Great Britain. The data ...