Linking Bank Clients using Graph Neural Networks Powered by Rich Transactional Data: Extended Abstract. - Valentina Shumovskaia; Kirill Fedyanin; Ivan Sukharev; Dmitry Berestnev; Maxim Panov (DSAA, 2020)

EWS-GCN: Edge Weight-Shared Graph Convolutional Network for Transactional Banking Data. - Ivan Sukharev; Valentina Shumovskaia; Kirill Fedyanin; Maxim Panov; Dmitry Berestnev (ICDM, 2020)

Linking bank clients using graph neural networks powered by rich transactional data. - Valentina Shumovskaia; Kirill Fedyanin; Ivan Sukharev; Dmitry Berestnev; Maxim Panov (Int. J. Data Sci. Anal., 2021)

Hiding Backdoors within Event Sequence Data via Poisoning Attacks. - Elizaveta Kovtun; Alina Ermilova; Dmitry Berestnev; Alexey Zaytsev 002 (CoRR, 2023)

Designing an attack-defense game: how to increase robustness of financial transaction models via a competition. - Alexey Zaytsev 001; Alex Natekin; Evgeni Vorsin; Valerii Smirnov; Georgii Smirnov; Oleg Sidorshin; Alexander Senin; Alexander Dudin; Dmitry Berestnev (CoRR, 2023)

Designing an Attack-Defense Game: How to Increase the Robustness of Financial Transaction Models Via a Competition. - Alexey Zaytsev 001; Maria Kovaleva; Alex Natekin; Evgeni Vorsin; Valerii Smirnov; Georgii Smirnov; Oleg Sidorshin; Alexander Senin; Alexander Dudin; Dmitry Berestnev (ICDM, 2024)

SeqNAS: Neural Architecture Search for Event Sequence Classification. - Igor Udovichenko; Egor Shvetsov; Denis Divitsky; Dmitry Osin; Ilya Trofimov; Ivan Sukharev; Anatoliy Glushenko; Dmitry Berestnev; Evgeny Burnaev (IEEE Access, 2024)