Natalia Semenova — accepted AI-conference papers

2024

Biomedical Entity Representation with Graph-Augmented Multi-Objective Transformer

Andrey Sakhovskiy, Natalia Semenova, Artur Kadurin, Elena Tutubalina

NAACL 2024findings

Modern biomedical concept representations are mostly trained on synonymous concept names from a biomedical knowledge base, ignoring the inter-concept interactions and a concept’s local neighborhood in a knowledge base graph. In this paper, we introduce Biomedical Entity Representation with a Graph-A…

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2024

Topological and Node Noise Filtering on 3D Meshes Using Graph Neural Networks (Student Abstract)

Vladimir Mashurov, Natalia Semenova

AAAI 2024technical

Topological and node noise filtration are typically considered separately. Graph Neural Networks (GNN) are commonly used for node noise filtration, as they offer high efficiency and low exploitation costs. This paper explores the solution of joint node and topological noise filtration through the us…

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