Learning convolutional neural networks for graphs M Niepert, M Ahmed, K Kutzkov International conference on machine learning, 2014-2023, 2016 | 2558 | 2016 |
Strip: stream learning of influence probabilities K Kutzkov, A Bifet, F Bonchi, A Gionis Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 74 | 2013 |
Triangle counting in dynamic graph streams K Kutzkov, R Pagh Scandinavian Workshop on Algorithm Theory, 306-318, 2014 | 59 | 2014 |
Triangle counting in dynamic graph streams L Bulteau, V Froese, K Kutzkov, R Pagh Algorithmica 76 (1), 259-278, 2016 | 45 | 2016 |
On the streaming complexity of computing local clustering coefficients K Kutzkov, R Pagh Proceedings of the sixth ACM international conference on Web search and data …, 2013 | 38 | 2013 |
New upper bound for the# 3-SAT problem K Kutzkov Information Processing Letters 105 (1), 1-5, 2007 | 28 | 2007 |
New bounds for MAX-SAT by clause learning AS Kulikov, K Kutzkov Computer Science–Theory and Applications: Second International Symposium on …, 2007 | 25 | 2007 |
Using CSP to improve deterministic 3-SAT K Kutzkov, D Scheder arXiv preprint arXiv:1007.1166, 2010 | 19 | 2010 |
Local correlation clustering F Bonchi, D García-Soriano, K Kutzkov arXiv preprint arXiv:1312.5105, 2013 | 14 | 2013 |
New upper bounds for the problem of maximal satisfiability AS Kulikov, K Kutskov Walter de Gruyter GmbH & Co. KG 19 (2), 155-172, 2009 | 14 | 2009 |
New exact algorithms for the 2-constraint satisfaction problem A Golovnev, K Kutzkov Theoretical Computer Science 526, 18-27, 2014 | 13 | 2014 |
Scalable system and method for real-time predictions and anomaly detection K Kutzkov, M Niepert, M Ahmed US Patent 10,846,610, 2020 | 12 | 2020 |
Query-efficient correlation clustering D García-Soriano, K Kutzkov, F Bonchi, C Tsourakakis Proceedings of The Web Conference 2020, 1468-1478, 2020 | 11 | 2020 |
Triangle counting in streamed graphs via small vertex covers D García-Soriano, K Kutzkov Proceedings of the 2014 SIAM International Conference on Data Mining, 352-360, 2014 | 11 | 2014 |
An exact exponential time algorithm for counting bipartite cliques K Kutzkov Information Processing Letters 112 (13), 535-539, 2012 | 11 | 2012 |
Enhancing logistic regression using neural networks for classification in actuarial learning G Tzougas, K Kutzkov Algorithms 16 (2), 99, 2023 | 10 | 2023 |
Weighted similarity estimation in data streams K Kutzkov, M Ahmed, S Nikitaki Proceedings of the 24th ACM International on Conference on Information and …, 2015 | 7 | 2015 |
Deterministic algorithms for skewed matrix products K Kutzkov arXiv preprint arXiv:1209.4508, 2012 | 6 | 2012 |
Scalable system and method for weighted similarity estimation in massive datasets revealed in a streaming fashion K Kutzkov, M Ahmed US Patent 10,402,414, 2019 | 5 | 2019 |
Weighted similarity estimation in data streams with applications to collaborative filtering and viral marketing M Ahmed, K Kutzkov, S Nikitaki US Patent 10,713,579, 2020 | 4 | 2020 |