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Publications in Math-Net.Ru |
Citations |
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2023 |
| 1. |
D. Shaikhelislamov, K. Lukyanov, N. Severin, M. Drobyshevskiy, I. Makarov, D. Turdakov, “A study of graph neural networks for link prediction on vulnerability to membership attacks”, Zap. Nauchn. Sem. POMI, 530 (2023), 113–127  |
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2022 |
| 2. |
D. Yu. Turdakov, A. I. Avetisyan, K. V. Arkhipenko, A. V. Antsiferova, D. S. Vatolin, S. S. Volkov, A. V. Gasnikov, D. A. Devyatkin, M. D. Drobyshevskiy, A. P. Kovalenko, M. I. Krivonosov, N. V. Lukashevich, V. A. Malykh, S. I. Nikolenko, I. V. Oseledets, A. I. Perminov, I. V. Sochenkov, M. M. Tihomirov, A. N. Fedotov, M. Yu. Khachay, “Trusted artificial intelligence: challenges and promising solutions”, Dokl. RAN. Math. Inf. Proc. Upr., 508 (2022), 13–18  ; Dokl. Math., 106:suppl. 1 (2022), S9–S13 |
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| 3. |
R. K. Pastukhov, M. D. Drobyshevskiy, D. Yu. Turdakov, “Detecting influential users in social networks based on bipartite comments graph”, Proceedings of ISP RAS, 34:5 (2022), 127–142 |
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2019 |
| 4. |
A. A. Avetisyan, M. D. Drobyshevskiy, D. Yu. Turdakov, “Methods for news items popularity estimation on early stages”, Proceedings of ISP RAS, 31:5 (2019), 137–144 |
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2018 |
| 5. |
A. A. Avetisyan, M. D. Drobyshevskiy, D. Yu. Turdakov, “Methods for information spread analysis”, Proceedings of ISP RAS, 30:6 (2018), 199–220 |
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2016 |
| 6. |
Mikhail Drobyshevskiy, Anton Korshunov, Denis Turdakov, “Parallel modularity computation for directed weighted graphs with overlapping communities”, Proceedings of ISP RAS, 28:6 (2016), 153–170 |
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