Konstantin Kutzkov

35 papers A* 5A 6Misc 1Journal 18Unranked 5
YearRankTypeTitle / Venue / Authors
2025 A conf
Learning Graph Node Embeddings by Smooth Pair Sampling.
AISTATS
Konstantin Kutzkov
2025 J jnl
Learning Graph Node Embeddings by Smooth Pair Sampling.
CoRR
Konstantin Kutzkov
2023 J jnl
Enhancing Logistic Regression Using Neural Networks for Classification in Actuarial Learning.
Algorithms
George Tzougas, Konstantin Kutzkov
2023 A* conf
LoNe Sampler: Graph Node Embeddings by Coordinated Local Neighborhood Sampling.
AAAI
Konstantin Kutzkov
2022 J jnl
LoNe Sampler: Graph node embeddings by coordinated local neighborhood sampling.
CoRR
Konstantin Kutzkov
2021 J jnl
COLOGNE: Coordinated Local Graph Neighborhood Sampling.
CoRR
Konstantin Kutzkov
2020 A* conf
Query-Efficient Correlation Clustering.
WWW
David García-Soriano, Konstantin Kutzkov, Francesco Bonchi, Charalampos E. Tsourakakis
2020 J jnl
Query-Efficient Correlation Clustering.
CoRR
David García-Soriano, Konstantin Kutzkov, Francesco Bonchi, Charalampos E. Tsourakakis
2018 A* conf
KONG: Kernels for ordered-neighborhood graphs.
NeurIPS
Moez Draief, Konstantin Kutzkov, Kevin Scaman, Milan Vojnovic
2018 J jnl
KONG: Kernels for ordered-neighborhood graphs.
CoRR
Moez Draief, Konstantin Kutzkov, Kevin Scaman, Milan Vojnovic
2016 — conf
Efficient Distributed Decision Trees for Robust Regression.
ECML/PKDD (2)
Tian Guo, Konstantin Kutzkov, Mohamed Ahmed, Jean-Paul Calbimonte, Karl Aberer
2016 A* conf
Learning Convolutional Neural Networks for Graphs.
ICML
Mathias Niepert, Mohamed Ahmed, Konstantin Kutzkov
2016 J jnl
Learning Convolutional Neural Networks for Graphs.
CoRR
Mathias Niepert, Mohamed Ahmed, Konstantin Kutzkov
2016 J jnl
Triangle Counting in Dynamic Graph Streams.
Algorithmica
Laurent Bulteau, Vincent Froese, Konstantin Kutzkov, Rasmus Pagh
2015 A conf
Weighted Similarity Estimation in Data Streams.
CIKM
Konstantin Kutzkov, Mohamed Ahmed, Sofia Nikitaki
2014 — conf
Consistent Subset Sampling.
SWAT
Konstantin Kutzkov, Rasmus Pagh
2014 J jnl
Consistent Subset Sampling.
CoRR
Konstantin Kutzkov, Rasmus Pagh
2014 J jnl
New exact algorithms for the 2-constraint satisfaction problem.
Theor. Comput. Sci.
Alexander Golovnev, Konstantin Kutzkov
2014 — conf
Triangle Counting in Dynamic Graph Streams.
SWAT
Konstantin Kutzkov, Rasmus Pagh
2014 J jnl
Triangle counting in dynamic graph streams.
CoRR
Laurent Bulteau, Vincent Froese, Konstantin Kutzkov, Rasmus Pagh
2014 A conf
Triangle counting in streamed graphs via small vertex covers.
SDM
David García-Soriano, Konstantin Kutzkov
2013 A conf
Deterministic algorithms for skewed matrix products.
STACS
Konstantin Kutzkov
2013 J jnl
Local correlation clustering.
CoRR
Francesco Bonchi, David García-Soriano, Konstantin Kutzkov
2013 A conf
On parallelizing matrix multiplication by the column-row method.
ALENEX
Andrea Campagna, Konstantin Kutzkov, Rasmus Pagh
2013 A conf
On the streaming complexity of computing local clustering coefficients.
WSDM
Konstantin Kutzkov, Rasmus Pagh
2013 A* conf
STRIP: stream learning of influence probabilities.
KDD
Konstantin Kutzkov, Albert Bifet, Francesco Bonchi, Aristides Gionis
2012 J jnl
An exact exponential time algorithm for counting bipartite cliques.
Inf. Process. Lett.
Konstantin Kutzkov
2012 J jnl
Deterministic algorithms for skewed matrix products
CoRR
Konstantin Kutzkov
2012 — conf
Improved Counter Based Algorithms for Frequent Pairs Mining in Transactional Data Streams.
ECML/PKDD (1)
Konstantin Kutzkov
2012 J jnl
On Parallelizing Matrix Multiplication by the Column-Row Method
CoRR
Andrea Campagna, Konstantin Kutzkov, Rasmus Pagh
2011 — conf
Frequent Pairs in Data Streams: Exploiting Parallelism and Skew.
ICDM Workshops
Andrea Campagna, Konstantin Kutzkov, Rasmus Pagh
2010 J jnl
Using CSP To Improve Deterministic 3-SAT
CoRR
Konstantin Kutzkov, Dominik Scheder
2007 Misc conf
New Bounds for MAX-SAT by Clause Learning.
CSR
Alexander S. Kulikov, Konstantin Kutzkov
2007 J jnl
New upper bound for the #3-SAT problem.
Inf. Process. Lett.
Konstantin Kutzkov
2006 J jnl
A Note on the Use of Independent Sets for the k-SAT Problem.
J. Satisf. Boolean Model. Comput.
Konstantin Kutzkov