Pierre Cazals

dblp:244/8386 · DBLP profile ↗
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4ranked-venue papers
1as first author
2since 2021 · last 2025
0000-0002-7681-476XORCID · verified

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Theory of computation · 3 · 1 first-author · 2 since 2021Artificial intelligence and machine learning · 1
YearPublicationVenuePosition
2025 Dense graph partitioning on sparse and dense graphs
abstract
We consider the problem of partitioning a graph into a non-fixed number of non-overlapping subgraphs of maximum density. The density of a partition is the sum of the densities of the subgraphs, where the density of a subgraph is half its average degree, that is, the ratio of its number of edges and its number of vertices. This problem, called Dense Graph Partition, is known to be NP-hard on general graphs and polynomial-time solvable on trees, and polynomial-time 2-approximable. In this paper we study the restriction of Dense Graph Partition to particular sparse and dense graph classes. In particular, we prove that it is NP-hard on dense bipartite graphs as well as on cubic graphs. On dense graphs on n vertices, it is polynomial-time solvable on graphs with minimum degree n − 3 and NP-hard on ( n − 4 ) -regular graphs. Some polynomial-time approximation results are also established.
Cristina Bazgan, Katrin Casel, Pierre Cazals
J. Comput. Syst. Sci.3
2021 Degree-anonymization using edge rotations
Cristina Bazgan, Pierre Cazals, Janka Chlebíková
Theor. Comput. Sci.2
2020 How to Get a Degree-Anonymous Graph Using Minimum Number of Edge Rotations
Cristina Bazgan, Pierre Cazals, Janka Chlebíková
COCOA2
2019 Power Edge Set and Zero Forcing Set Remain Difficult in Cubic Graphs
Pierre Cazals, Benoît Darties, Annie Chateau, Rodolphe Giroudeau, Mathias Weller
IWOCA1