VLDB 2026 Research / reviewers in the wild / expert
Bastian Laubner
dblp:22/7571
· DBLP profile ↗
4ranked-venue papers
1as first author
0since 2021 · last 2011
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 4 · 1 first-author
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
4 papers |
Computational complexity · 40% Graph algorithms and graph theory · 26% Logic in computer science · 18% |
Topics — the 14 heaviest of 14, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational geometry › intersection graphs
interval graphs |
0.3 | 3 | 2011 | Interval Graphs: Canonical Representations in Logspace · SIAM J. Comput. 2011 Capturing Polynomial Time on Interval Graphs · LICS 2010 Interval Graphs: Canonical Representation in Logspace · ICALP (1) 2010 |
Computational complexity
space complexity |
0.2 | 2 | 2011 | Interval Graphs: Canonical Representations in Logspace · SIAM J. Comput. 2011 Interval Graphs: Canonical Representation in Logspace · ICALP (1) 2010 |
Graph algorithms and graph theory
graph classes |
0.2 | 2 | 2010 | Capturing Polynomial Time on Interval Graphs · LICS 2010 Interval Graphs: Canonical Representation in Logspace · ICALP (1) 2010 |
Computational complexity
descriptive complexity |
0.2 | 2 | 2010 | Capturing Polynomial Time on Interval Graphs · LICS 2010 Logics with Rank Operators · LICS 2009 |
Logic in computer science
finite model theory |
0.2 | 2 | 2010 | Capturing Polynomial Time on Interval Graphs · LICS 2010 Logics with Rank Operators · LICS 2009 |
Graph algorithms and graph theory › graph isomorphism
canonical labeling |
0.1 | 1 | 2011 | Interval Graphs: Canonical Representations in Logspace · SIAM J. Comput. 2011 |
Graph algorithms and graph theory
graph isomorphism |
0.1 | 1 | 2011 | Interval Graphs: Canonical Representations in Logspace · SIAM J. Comput. 2011 |
Computational complexity › space complexity
logspace algorithms |
0.1 | 1 | 2011 | Interval Graphs: Canonical Representations in Logspace · SIAM J. Comput. 2011 |
Logic in computer science › rewriting
canonical form |
0.1 | 1 | 2010 | Interval Graphs: Canonical Representation in Logspace · ICALP (1) 2010 |
Computational complexity › descriptive complexity
fixed-point logic with counting |
0.1 | 1 | 2010 | Capturing Polynomial Time on Interval Graphs · LICS 2010 |
Graph algorithms and graph theory › graph classes
forbidden induced subgraphs |
0.1 | 1 | 2010 | Capturing Polynomial Time on Interval Graphs · LICS 2010 |
Computational complexity › space complexity
logarithmic space |
0.1 | 1 | 2010 | Interval Graphs: Canonical Representation in Logspace · ICALP (1) 2010 |
Computational complexity
complexity classes |
0.1 | 1 | 2009 | Logics with Rank Operators · LICS 2009 |
Logic in computer science › finite model theory
fixed-point logic |
0.1 | 1 | 2009 | Logics with Rank Operators · LICS 2009 |
Methods — techniques the papers use, named apart from their topics
log-space reduction · 0.1modular decomposition · 0.1logarithmic space computation · 0.1canonical form · 0.1rank operators · 0.1fixed-point logic with counting · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Interval Graphs: Canonical Representations in LogspaceabstractWe present a logspace algorithm for computing a canonical labeling, in fact, a canonical interval representation, for interval graphs. To achieve this, we compute canonical interval representations of interval hypergraphs. This approach also yields a canonical labeling of convex graphs. As a consequence, the isomorphism and automorphism problems for these graph classes are solvable in logspace. For proper interval graphs we also design logspace algorithms computing their canonical representations by proper and by unit interval systems. Johannes Köbler, Sebastian Kuhnert, Bastian Laubner, Oleg Verbitsky 0001 |
SIAM J. Comput. | 3 |
| 2010 | Interval Graphs: Canonical Representation in Logspace
Johannes Köbler, Sebastian Kuhnert, Bastian Laubner, Oleg Verbitsky 0001 |
ICALP (1) | 3 |
| 2010 | Capturing Polynomial Time on Interval GraphsabstractWe prove a characterization of all polynomial-time computable queries on the class of interval graphs by sentences of fixed-point logic with counting. More precisely, it is shown that on the class of unordered interval graphs, any query is polynomial-time computable if and only if it is definable in fixed-point logic with counting. This result is one of the first establishing the capturing of polynomial time on a graph class which is defined by forbidden induced subgraphs. For this, we define a canonical form of interval graphs using a type of modular decomposition, which is different from the method of tree decomposition that is used in most known capturing results for other graph classes, specifically those defined by forbidden minors. The method might also be of independent interest for its conceptual simplicity. Furthermore, it is shown that fixed-point logic with counting is not expressive enough to capture polynomial time on the classes of chordal graphs or incomparability graphs. Bastian Laubner |
LICS | 1 |
| 2009 | Logics with Rank OperatorsabstractWe introduce extensions of first-order logic (FO) and fixed-point logic (FP) with operators that compute the rank of a definable matrix. These operators are generalizations of the counting operations in FP+C (i.e. fixed-point logic with counting) that allow us to count the dimension of a definable vector space, rather than just count the cardinality of a definable set. The logics we define have data complexity contained in polynomial time and all known examples of polynomial time queries that are not definable in FP+C are definable in FP+rk, the extension of FP with rank operators. For each prime number p and each positive integer n, we have rank operators rkpfor determining the rank of a matrix over the finite field GFpdefined by a formula over n-tuples. We compare the expressive power of the logics obtained by varying the values p and n can take. In particular, we show that increasing the arity of the operators yields an infinite hierarchy of expressive power. The rank operators are surprisingly expressive, even in the absence of fixed-point operators. We show that FO+rkpcan define deterministic and symmetric transitive closure. This allows us to show that, on ordered structures, FO+rkpcaptures the complexity class MODpL, for all prime values of p. Anuj Dawar, Martin Grohe, Bjarki Holm, Bastian Laubner |
LICS | 4 |