6 citations · 14 across the 5 of their papers we have counts for
7 papers
Data mining when each data point is a network
Karthikeyan Rajendran, Assimakis A. Kattis, Alexander Holiday +2
We discuss the problem of extending data mining approaches to cases in which data points arise in the form of individual graphs. Being able to find the intrinsic low-dimensionality…
Modeling Heterogeneity in Networks using Uncertainty Quantification Tools
Karthikeyan Rajendran, Andreas C. Tsoumanis, Constantinos I. Siettos +2
Using the dynamics of information propagation on a network as our illustrative example, we present and discuss a systematic approach to quantifying heterogeneity and its propagatio…
Designing Networks: A Mixed-Integer Linear Optimization Approach
Chrysanthos E. Gounaris, Karthikeyan Rajendran, Ioannis G. Kevrekidis +1
Designing networks with specified collective properties is useful in a variety of application areas, enabling the study of how given properties affect the behavior of network model…
Analysis of data in the form of graphs
Karthikeyan Rajendran, Ioannis G. Kevrekidis
We discuss the problem of extending data mining approaches to cases in which data points arise in the form of individual graphs. Being able to find the intrinsic low-dimensionality…
Coarse-graining the dynamics of network evolution: the rise and fall of a networked society
Andreas C. Tsoumanis, Karthikeyan Rajendran, Constantinos I. Siettos +1
We explore a systematic approach to studying the dynamics of evolving networks at a coarse-grained, system level. We emphasize the importance of finding good observables (network p…
An equation-free approach to coarse-graining the dynamics of networks
Katherine A. Bold, Karthikeyan Rajendran, Balázs Ráth +1
We propose and illustrate an approach to coarse-graining the dynamics of evolving networks (networks whose connectivity changes dynamically). The approach is based on the equation-…