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Amineh Dadsetan

dblp:228/6661 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

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

Theory of computation · 1

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 · 87% Algorithms and data structures · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational complexity
counting complexity
0.412020
Counting Homomorphisms in Plain Exponential Time · ICALP 2020
Computational complexity › counting complexity
homomorphism counting
0.412020
Counting Homomorphisms in Plain Exponential Time · ICALP 2020
Algorithms and data structures › exact algorithms
exponential time algorithms
0.112020
Counting Homomorphisms in Plain Exponential Time · ICALP 2020
YearPublicationVenuePosition
2020 Counting Homomorphisms in Plain Exponential Time
abstract
In the counting Graph Homomorphism problem (#GraphHom) the question is: Given graphs G,H, find the number of homomorphisms from G to H. This problem is generally #P-complete, moreover, Cygan et al. proved that unless the ETH is false there is no algorithm that solves this problem in time O(|V(H)|^{o(|V(G)|)}. This, however, does not rule out the possibility that faster algorithms exist for restricted problems of this kind. Wahlstrom proved that #GraphHom can be solved in plain exponential time, that is, in time k^{|V(G)|+V(H)|}\poly(|V(H)|,|V(G)|) provided H has clique width k. We generalize this result to a larger class of graphs, and also identify several other graph classes that admit a plain exponential algorithm for #GraphHom.
Andrei A. Bulatov, Amineh Dadsetan
ICALP2