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Ilia Ponomarenko

dblp:27/8077 · also Ilia N. Ponomarenko · DBLP profile ↗
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12ranked-venue papers
1as first author
7since 2021 · last 2026
0000-0003-2444-731XORCID · verified

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

Theory of computation · 11 · 1 first-author · 7 since 2021Applied, interdisciplinary, general and emerging computing · 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
4 papers
Graph algorithms and graph theory · 32% Coding theory · 27% Logic in computer science · 25%

Topics — the 14 heaviest of 14, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Logic in computer science
finite model theory
1.032019
The Weisfeiler-Leman Dimension of Planar Graphs Is at Most 3 · J. ACM 2019
Walk refinement, walk logic, and the iteration number of the Weisfeiler-Leman algorithm · LICS 2019
The Weisfeiler-Leman dimension of planar graphs is at most 3 · LICS 2017
Graph algorithms and graph theory
graph isomorphism
1.032019
The Weisfeiler-Leman Dimension of Planar Graphs Is at Most 3 · J. ACM 2019
Walk refinement, walk logic, and the iteration number of the Weisfeiler-Leman algorithm · LICS 2019
The Weisfeiler-Leman dimension of planar graphs is at most 3 · LICS 2017
Graph algorithms and graph theory › graph isomorphism
weisfeiler-leman algorithm
1.032019
The Weisfeiler-Leman Dimension of Planar Graphs Is at Most 3 · J. ACM 2019
Walk refinement, walk logic, and the iteration number of the Weisfeiler-Leman algorithm · LICS 2019
The Weisfeiler-Leman dimension of planar graphs is at most 3 · LICS 2017
Coding theory
error-correcting codes
0.912025
A Linear Programming Bound for Sum-Rank Metric Codes · IEEE Trans. Inf. Theory 2025
Mathematical optimization
linear programming
0.912025
A Linear Programming Bound for Sum-Rank Metric Codes · IEEE Trans. Inf. Theory 2025
Coding theory › error-correcting codes › coding bounds
linear programming bounds
0.912025
A Linear Programming Bound for Sum-Rank Metric Codes · IEEE Trans. Inf. Theory 2025
Coding theory › error-correcting codes › coding metrics
sum-rank metric code
0.912025
A Linear Programming Bound for Sum-Rank Metric Codes · IEEE Trans. Inf. Theory 2025
Logic in computer science › finite model theory
counting quantifiers
0.822019
The Weisfeiler-Leman Dimension of Planar Graphs Is at Most 3 · J. ACM 2019
Walk refinement, walk logic, and the iteration number of the Weisfeiler-Leman algorithm · LICS 2019
Computational complexity
descriptive complexity
0.722019
The Weisfeiler-Leman Dimension of Planar Graphs Is at Most 3 · J. ACM 2019
The Weisfeiler-Leman dimension of planar graphs is at most 3 · LICS 2017
Graph algorithms and graph theory › planar graphs
3-connected planar graph
0.412019
The Weisfeiler-Leman Dimension of Planar Graphs Is at Most 3 · J. ACM 2019
Graph algorithms and graph theory
planar graphs
0.412019
The Weisfeiler-Leman Dimension of Planar Graphs Is at Most 3 · J. ACM 2019
Logic in computer science › finite model theory
quantifier depth
0.412019
Walk refinement, walk logic, and the iteration number of the Weisfeiler-Leman algorithm · LICS 2019
Graph algorithms and graph theory › graph isomorphism
planar graph isomorphism
0.312017
The Weisfeiler-Leman dimension of planar graphs is at most 3 · LICS 2017
Logic in computer science › finite model theory
weisfeiler-leman dimension
0.312017
The Weisfeiler-Leman dimension of planar graphs is at most 3 · LICS 2017

Methods — techniques the papers use, named apart from their topics

linear programming · 0.9weisfeiler-leman dimension · 0.4walk refinement · 0.4semisimple matrix algebras · 0.4pebble game · 0.4individualization-refinement · 0.4orbit determination · 0.3individualization · 0.3
YearPublicationVenuePosition
2026 Testing Isomorphism of Chordal Graphs of Bounded Leafage is Fixed-Parameter Tractable
Vikraman Arvind, Roman Nedela, Ilia Ponomarenko, Peter Zeman 0001
Algorithmica3
2025 On the Weisfeiler algorithm of depth-1 stabilization
Qing Ren, Ilia Ponomarenko
Theor. Comput. Sci.3
2025 A Linear Programming Bound for Sum-Rank Metric Codes
abstract
We derive a linear programming bound on the maximum cardinality of error-correcting codes in the sum-rank metric. Based on computational experiments on relatively small instances, we observe that the obtained bounds outperform all previously known bounds.
Aida Abiad, Alexander L. Gavrilyuk, Antonina P. Khramova, Ilia Ponomarenko
IEEE Trans. Inf. Theory4
2024 On the Weisfeiler-Leman Dimension of Permutation Graphs
abstract
Abstract. It is proved that the Weisfeiler–Leman dimension of the class of permutation graphs is at most 18. Previously, it was only known that this dimension is finite (B. Grußien, Proceedings of the 32 nd Annual ACM/IEEE Symposium on Logic in Computer Science (LICS), 2017, pp. 1–12).
Alexander L. Gavrilyuk, Ilia Ponomarenko
SIAM J. Discret. Math.3
2022 Testing Isomorphism of Chordal Graphs of Bounded Leafage is Fixed-Parameter Tractable (Extended Abstract)
Vikraman Arvind, Roman Nedela, Ilia Ponomarenko, Peter Zeman 0001
WG3
2021 The Weisfeiler-Leman Algorithm and Recognition of Graph Properties
Frank Fuhlbrück, Johannes Köbler, Ilia Ponomarenko, Oleg Verbitsky 0001
CIAC3
2021 The Weisfeiler-Leman algorithm and recognition of graph properties
Frank Fuhlbrück, Johannes Köbler, Ilia Ponomarenko, Oleg Verbitsky 0001
Theor. Comput. Sci.3
2020 Two-closures of supersolvable permutation groups in polynomial time
Ilia Ponomarenko, Andrey Vasil'ev
Comput. Complex.1
2019 Walk refinement, walk logic, and the iteration number of the Weisfeiler-Leman algorithm
abstract
We show that the 2-dimensional Weisfeiler-Leman algorithm stabilizes n-vertex graphs after at most O(n log n) iterations. This implies that if such graphs are distinguishable in 3-variable first order logic with counting, then they can also be distinguished in this logic by a formula of quantifier depth at most O(n log n). For this we exploit a new refinement based on counting walks and argue that its iteration number differs from the classic Weisfeiler-Leman refinement by at most a logarithmic factor. We then prove matching linear upper and lower bounds on the number of iterations of the walk refinement. This is achieved with an algebraic approach by exploiting properties of semisimple matrix algebras. We also define a walk logic and a bijective walk pebble game that precisely correspond to the new walk refinement.
Moritz Lichter, Ilia Ponomarenko, Pascal Schweitzer
LICS2
2019 The Weisfeiler-Leman Dimension of Planar Graphs Is at Most 3
abstract
We prove that the Weisfeiler--Leman (WL) dimension of the class of all finite planar graphs is at most 3. In particular, every finite planar graph is definable in first-order logic with counting using at most 4 variables. The previously best-known upper bounds for the dimension and number of variables were 14 and 15, respectively. First, we show that, for dimension 3 and higher, the WL-algorithm correctly tests isomorphism of graphs in a minor-closed class whenever it determines the orbits of the automorphism group of every arc-colored 3-connected graph belonging to this class. Then, we prove that, apart from several exceptional graphs (which have WL-dimension at most 2), the individualization of two appropriately chosen vertices of a colored 3-connected planar graph followed by the one-dimensional WL-algorithm produces the discrete vertex partition. This implies that the three-dimensional WL-algorithm determines the orbits of arc-colored 3-connected planar graphs. As a byproduct of the proof, we get a classification of the 3-connected planar graphs with fixing number 3.
Sandra Kiefer, Ilia Ponomarenko, Pascal Schweitzer
J. ACM2
2017 The Weisfeiler-Leman dimension of planar graphs is at most 3
abstract
We prove that the Weisfeiler-Leman (WL) dimension of the class of all finite planar graphs is at most 3. In particular, every finite planar graph is definable in first-order logic with counting using at most 4 variables. The previously best known upper bounds for the dimension and number of variables were 14 and 15, respectively. First we show that, for dimension 3 and higher, the WL-algorithm correctly tests isomorphism of graphs in a minor-closed class whenever it determines the orbits of the automorphism group of any arc-colored 3-connected graph belonging to this class. Then we prove that, apart from several exceptional graphs (which have WL-dimension at most 2), the individualization of two correctly chosen vertices of a colored 3-connected planar graph followed by the 1-dimensional WL-algorithm produces the discrete vertex partition. This implies that the 3-dimensional WL-algorithm determines the orbits of a colored 3-connected planar graph. As a byproduct of the proof, we get a classification of the 3-connected planar graphs with fixing number 3.
Sandra Kiefer, Ilia Ponomarenko, Pascal Schweitzer
LICS2
1994 Direct Path Graph Isomorphism (Extended Abstract)
Luitpold Babel, Ilia Ponomarenko, Gottfried Tinhofer
WG2