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Articles by keyword Graph neural networks
Construction of a vector representation of economic activities using graph neural networks

N.V. Blokhin1, S.V. Makrushin2

1−2 Financial University under the Government of the Russian Federation (Moscow, Russia)

1−2 Center for Intelligent Analytical and Robotic Systems (Balashikha, Russia)

1nvblokhin@fa.ru, 2svmakrushin@fa.ru

Heterophily and homophily in graphs: AMUD-ADPA model analy-sis on the MOOC dataset

A.M. Poykalaynen1, R.A. Kochkarov2

1,2 Financial University under the Government of the Russian Federation (Moscow, Russia)
1 ampojkalajnen@fa.ru, 2 rkochkarov@fa.ru

Construction of hierarchical vector representations of OKVED codes using fully connected adapters

N.V. Blokhin 1

1 Financial University under the Government of the Russian Federation (Moscow, Russia)
1nvblokhin@fa.ru

Construction of company embeddings based on a vector representation of economic sectors and connections between companies

N.V. Blokhin1, S.V. Makrushin2

1, 2 Financial University under the Government of the Russian Federation (Moscow, Russia)

1, 2 Center for Intelligent Analytical and Robotic Systems (Balashikha, Russia)

1 nvblokhin@fa.ru, 2 svmakrushin@fa.ru

Method for constructing hierarchical graph layout based on spring algorithms and graph neural networks

N.V. Blokhin1

1 Financial University under the Government of the Russian Federation (Moscow, Russia)

1nvblokhin@fa.ru

Prediction using graph neural networks of coronary artery diameters

D.N. Gribkov1, O.K. Zenin2, A.A. Sergienko3, Z.M. Yuldashev4, V.I. Gorbachenko5

1–3, 5 Penza State University (Penza, Russia)
4 St. Petersburg State Electrotechnical University "LETI" (Saint Petersburg, Russia)