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A survey on the densest subgraph problem and its variants
The Densest Subgraph Problem requires us to find, in a given graph, a subset of vertices
whose induced subgraph maximizes a measure of density. The problem has received a …
whose induced subgraph maximizes a measure of density. The problem has received a …
A method for urban air mobility network design using hub location and subgraph isomorphism
Rising concerns related to the effects of traffic congestion have led to the proposal of many
alternative solutions, including the idea of Urban Air Mobility (UAM), which uses electric …
alternative solutions, including the idea of Urban Air Mobility (UAM), which uses electric …
Discovering graph functional dependencies
This article studies discovery of Graph Functional Dependencies (GFDs), a class of
functional dependencies defined on graphs. We investigate the fixed-parameter tractability …
functional dependencies defined on graphs. We investigate the fixed-parameter tractability …
All along the h-index-related literature: a guided tour
A Schubert, G Schubert - Springer handbook of science and technology …, 2019 - Springer
In this chapter, a survey of the literature related to the h-index (referred to as h-related
literature) between 2005 and 2016 is presented. In the first section, the basic definitions and …
literature) between 2005 and 2016 is presented. In the first section, the basic definitions and …
[HTML][HTML] Multivariate algorithmics for finding cohesive subnetworks
C Komusiewicz - Algorithms, 2016 - mdpi.com
Community detection is an important task in the analysis of biological, social or technical
networks. We survey different models of cohesive graphs, commonly referred to as clique …
networks. We survey different models of cohesive graphs, commonly referred to as clique …
Covering many (or few) edges with k vertices in sparse graphs
We study the following two fixed-cardinality optimization problems (a maximization and a
minimization variant). For a fixed $\alpha $ between zero and one we are given a graph and …
minimization variant). For a fixed $\alpha $ between zero and one we are given a graph and …
Exploiting -Closure in Kernelization Algorithms for Graph Problems
A graph is c-closed if every pair of vertices with at least c common neighbors is adjacent.
The c-closure of a graph G is the smallest number c such that G is c-closed. Fox et al. SIAM …
The c-closure of a graph G is the smallest number c such that G is c-closed. Fox et al. SIAM …
Enumerating connected induced subgraphs: Improved delay and experimental comparison
We consider the problem of enumerating all connected induced subgraphs of order k in an
undirected graph G=(V, E). Our main results are two enumeration algorithms with a delay of …
undirected graph G=(V, E). Our main results are two enumeration algorithms with a delay of …
Computing dense and sparse subgraphs of weakly closed graphs
A graph G is weakly γ-closed if every induced subgraph of G contains one vertex v such that
for each non-neighbor u of v it holds that| N (u)∩ N (v)|< γ. The weak closure γ (G) of a …
for each non-neighbor u of v it holds that| N (u)∩ N (v)|< γ. The weak closure γ (G) of a …
[HTML][HTML] An algorithmic framework for fixed-cardinality optimization in sparse graphs applied to dense subgraph problems
We investigate the computational complexity of the Densest k-Subgraph problem, where the
input is an undirected graph G=(V, E) and one wants to find a subgraph on exactly k vertices …
input is an undirected graph G=(V, E) and one wants to find a subgraph on exactly k vertices …