Citation Network Applications in a Scientific Co-authorship Recommender System. - Vladislav Tishin; Artyom Sosedka; Peter Ibragimov; Vadim Porvatov (AIST, 2021)

Hybrid Graph Embedding Techniques in Estimated Time of Arrival Task. - Vadim Porvatov; Natalia Semenova; Andrey Chertok (COMPLEX NETWORKS, 2021)

Transformer-based classification of premise in tweets related to COVID-19. - Vadim Porvatov; Natalia Semenova (SMM4H@COLING, 2022)

Logistics, Graphs, and Transformers: Towards Improving Travel Time Estimation. - Natalia Semenova; Vadim Porvatov; Vladislav Tishin; Artyom Sosedka; Vladislav Zamkovoy (ECML/PKDD (6), 2022)

Revising deep learning methods in parking lot occupancy detection. - Anastasia Martynova; Mikhail Kuznetsov; Vadim Porvatov; Vladislav Tishin; Andrey Kuznetsov; Natalia Semenova; Ksenia Kuznetsova (CoRR, 2023)

GCT-TTE: Graph Convolutional Transformer for Travel Time Estimation. - Vladimir Mashurov; Vaagn Chopurian; Vadim Porvatov; Arseny Ivanov; Natalia Semenova (CoRR, 2023)

Gct-TTE: graph convolutional transformer for travel time estimation. - Vladimir Mashurov; Vaagn Chopuryan; Vadim Porvatov; Arseny Ivanov; Natalia Semenova (J. Big Data, 2024)

Position of Uncertainty: A Cross-Linguistic Study of Positional Bias in Large Language Models. - Menschikov Mikhail; Alexander Kharitonov; Maiia Kotyga; Vadim Porvatov; Anna Zhukovskaya; David Kagramanyan; Egor Shvetsov; Evgeny Burnaev (CoRR, 2025)