Mikhail Drobyshevskiy

11 papers A* 2Misc 1Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2026 A* conf
Framework GNN-AID: Graph Neural Network Analysis, Interpretation and Defense.
AAAI
Kirill Lukianov, Mikhail Drobyshevskiy, Georgii V. Sazonov, Mikhail Soloviov, Ilya Makarov
2025 J jnl
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense.
CoRR
Kirill S. Lukyanov, Mikhail Drobyshevskiy, Georgii V. Sazonov, Mikhail Soloviov, Ilya Makarov
2024 A* conf
AADMIP: Adversarial Attacks and Defenses Modeling in Industrial Processes.
IJCAI
Vitaliy Pozdnyakov, Aleksandr Kovalenko, Ilya Makarov, Mikhail Drobyshevskiy, Kirill S. Lukyanov
2024 J jnl
Adversarial Attacks and Defenses in Automated Control Systems: A Comprehensive Benchmark.
CoRR
Vitaliy Pozdnyakov, Aleksandr Kovalenko, Ilya Makarov, Mikhail Drobyshevskiy, Kirill S. Lukyanov
2024 J jnl
Collecting Influencers: A Comparative Study of Online Network Crawlers.
CoRR
Mikhail Drobyshevskiy, Denis Aivazov, Denis Turdakov, Alexander Yatskov, Maksim Varlamov, Danil Shayhelislamov
2024 J jnl
Graph Neural Network for Crawling Target Nodes in Social Networks.
CoRR
Kirill S. Lukyanov, Mikhail Drobyshevskiy, Danil Shaikhelislamov, Denis Turdakov
2024 J jnl
Random Graph Modeling: A survey of the concepts.
CoRR
Mikhail Drobyshevskiy, Denis Turdakov
2021 Misc conf
Context Specificity Matters: Profile Attributes Prediction for Social Network Users.
CISS
Andrey Gomzin, Mikhail Drobyshevskiy, Denis Turdakov
2020 J jnl
Random Graph Modeling: A Survey of the Concepts.
ACM Comput. Surv.
Mikhail Drobyshevskiy, Denis Turdakov
2019 J jnl
Methods for Information Diffusion Analysis.
Program. Comput. Softw.
A. A. Avetisyan, Mikhail Drobyshevskiy, D. Yu. Turdakov, Tsolak Ghukasyan
2017 — conf
Learning and Scaling Directed Networks via Graph Embedding.
ECML/PKDD (1)
Mikhail Drobyshevskiy, Anton Korshunov, Denis Turdakov