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Aris Papadopoulos

dblp:144/2791 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Computational complexity · 50% Graph algorithms and graph theory · 33% Automated reasoning and model checking · 17%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Graph algorithms and graph theory › graph classes › sparse graphs
bounded degree graphs
0.712023
Monadic NIP in Monotone Classes of Relational Structures · ICALP 2023
Computational complexity › complexity of reasoning
first-order model checking
0.712023
Monadic NIP in Monotone Classes of Relational Structures · ICALP 2023
Computational complexity › parameterized complexity
fixed-parameter tractability
0.712023
Monadic NIP in Monotone Classes of Relational Structures · ICALP 2023
Graph algorithms and graph theory
graph classes
0.712023
Monadic NIP in Monotone Classes of Relational Structures · ICALP 2023
Automated reasoning and model checking
model checking
0.712023
Monadic NIP in Monotone Classes of Relational Structures · ICALP 2023
Computational complexity
parameterized complexity
0.712023
Monadic NIP in Monotone Classes of Relational Structures · ICALP 2023
YearPublicationVenuePosition
2023 Monadic NIP in Monotone Classes of Relational Structures
abstract
We study the first-order (FO) model checking problem of dense graphs, namely those which have FO interpretations in (or are FO transductions of) some sparse graph classes. We give a structural characterization of the graph classes which are FO interpretable in graphs of bounded degree. This characterization allows us to efficiently compute such an FO interpretation for an input graph. As a consequence, we obtain an FPT algorithm for successor-invariant FO model checking of any graph class which is FO interpretable in (or an FO transduction of) a graph class of bounded degree. The approach we use to obtain these results may also be of independent interest.
Samuel Braunfeld, Anuj Dawar, Ioannis Eleftheriadis, Aris Papadopoulos
ICALP4