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20132026
most citedH-Index Manipulation by Merging Articles: Models, Theory, and Experiments

30 citations · 100 across the 41 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.DS2021

Preventing Small -Cuts by Protecting Edges

Niels Grüttemeier, Christian Komusiewicz, Nils Morawietz +1

We introduce and study Weighted Min -Cut Prevention, where we are given a graph with vertices and and an edge cost function and the aim is to choose an edg…

cs.DS2021

On the Parameterized Complexity of Polytree Learning

Niels Grüttemeier, Christian Komusiewicz, Nils Morawietz

A Bayesian network is a directed acyclic graph that represents statistical dependencies between variables of a joint probability distribution. A fundamental task in data science is…

cs.CC2021★ 1 cited

Parameterized String Equations

Laurent Bulteau, Michael R. Fellows, Christian Komusiewicz +1

We study systems of String Equations where block variables need to be assigned strings so that their concatenation gives a specified target string. We investigate this problem unde…

cs.DS2021★ 2 cited

Destroying Multicolored Paths and Cycles in Edge-Colored Graphs

Nils Jakob Eckstein, Niels Grüttemeier, Christian Komusiewicz +1

We study the computational complexity of -Colored Deletion and -Colored Deletion. In these problems, one is given a -edge-colored graph and wants to dest…

cs.DS2021

Essentially Tight Kernels for (Weakly) Closed Graphs

Tomohiro Koana, Christian Komusiewicz, Frank Sommer

We study kernelization of classic hard graph problems when the input graphs fulfill triadic closure properties. More precisely, we consider the recently introduced parameters closu…

cs.DS2021★ 2 cited

Refined Notions of Parameterized Enumeration Kernels with Applications to Matching Cut Enumeration

Petr A. Golovach, Christian Komusiewicz, Dieter Kratsch +1

An enumeration kernel as defined by Creignou et al. [Theory Comput. Syst. 2017] for a parameterized enumeration problem consists of an algorithm that transforms each instance into…