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

Many Heads but One Brain: an Overview of Fusion Brain Challenge on AI Journey 2021. - Daria Bakshandaeva; Denis Dimitrov; Alex Shonenkov; Mark Potanin; Vladimir Arkhipkin; Denis Karachev; Vera Davydova; Anton Voronov; Mikhail Martynov; Natalia Semenova; Mikhail Stepnov; Elena Tutubalina; et al. (CoRR, 2021)

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

Optimization of Salvia Officinalis L. Cultivation Using UV LEDs in Total Control Environment Agriculture. - Natalia Semenova; A. Ivanitskikh; Alexander Smirnov; Yuri Proshkin; Dmitry Burynin; N. Uyutova; Vladimir Panchenko (ICO, 2022)

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

Corporate governance performance ratings with machine learning. - Jan Svanberg; Tohid Ardeshiri; Isak Samsten; Peter Öhman; Presha E. Neidermeyer; Tarek Rana; Natalia Semenova; Mats Danielson (Intell. Syst. Account. Finance Manag., 2022)

Graph-Enriched Biomedical Entity Representation Transformer. - Andrey Sakhovskiy; Natalia Semenova; Artur Kadurin; Elena Tutubalina (CLEF, 2023)

Solving Vector Optimization Problems on Combinatorial Configurations With Fuzzily Specified Data. - Natalia Semenova; Liudmyla Koliechkina; Viktor Koliechkin (IntSol, 2023)

Noise impact on recurrent neural network with linear activation function. - V. M. Moskvitin; Natalia Semenova (CoRR, 2023)

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)

Topological and Node Noise Filtering on 3D Meshes Using Graph Neural Networks (Student Abstract). - Vladimir Mashurov; Natalia Semenova (AAAI, 2024)

From Variability to Stability: Advancing RecSys Benchmarking Practices. - Valeriy Shevchenko; Nikita Belousov; Alexey Vasilev; Vladimir Zholobov; Artyom Sosedka; Natalia Semenova; Anna Volodkevich; Andrey V. Savchenko; Alexey Zaytsev 002 (KDD, 2024)

Biomedical Entity Representation with Graph-Augmented Multi-Objective Transformer. - Andrey Sakhovskiy; Natalia Semenova; Artur Kadurin; Elena Tutubalina (NAACL-HLT (Findings), 2024)

ImgAdaPoinTr: Improving Point Cloud Completion via Images and Segmentation. - Vaagn Chopuryan; Mikhail Kuznetsov; Vasilii Latonov; Natalia Semenova (VISIGRAPP (4): VISAPP, 2024)

SynEL: A Synthetic Benchmark for Entity Linking. - Ilia Karpov; Alexander Kirillovich; Elisaveta Goncharova; Andrey Parinov; Alexander Chernyavskiy; Dmitry Ilvovsky; Natalia Semenova; Artyom Sosedka; Ekaterina Lisitsyna; Belkin Belkin (IEEE DataPort, 2024)

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

Learn Together: Joint Multitask Finetuning of Pretrained KG-enhanced LLM for Downstream Tasks. - Anastasia Martynova; Vladislav Tishin; Natalia Semenova (COLING Workshops, 2025)

Noisemaker 3D: Comprehensive Framework for Mesh Noise Generation. - Vladimir Mashurov; Vasilii Latonov; Anastasia Martynova; Natalia Semenova (VISIGRAPP (2): VISAPP, 2025)