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September 25, 2026
AI Users Earn Up to 41.8% More Than Non-Users
Research conducted by economists at HSE University has revealed a significant correlation between the regular use of GenAI in the workplace and higher pay among Russian employees. The study found that individuals who frequently use GenAI in their professional activities earn notably more than those who reject these new tools or resort to them occasionally. The salary premium for highly qualified specialists reaches 41.8%. The article was published in the Voprosy Ekonomiki journal.
September 24, 2026
‘Feedback and Constructive Criticism Are Essential in Our Profession
Vincent Fardeau, Associate Professor at HSE ICEF, has reached a major career milestone: he recently published his paper ‘Asymmetric Thin Markets’ in the Journal of Financial Economics, successfully passed his major academic review, and received tenure. In this interview, Vincent discusses the story behind the paper, explains the concept of asymmetric thin markets, and shares his advice for young scholars aiming to publish in top-tier journals.
September 22, 2026
Personal Interest in Doctoral Thesis Topic Most Important for Confidence in Successful Defence
A researcher at HSE University analysed data on 1,539 doctoral students from 161 Russian universities to identify which features of a thesis topic are associated with academic success and engagement. The most important factor was found to be personal interest in the research topic, which was associated with almost all key aspects of doctoral programme experience—from engaging with the academic supervisor to research activity and confidence about successfully defending the thesis. The findings have been published in Higher Education.

 

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Two approaches to determining similarity of two digraphs

Journal of Computer and Systems Sciences International. 2012. Vol. 51. No. 5. P. 695–714.
Kokhov V. A.
An approach to solving the problem of determining similarity with application of a maximal common fragment of two graphs is considered. Its two main disadvantages are specified. Two new approaches to solving the problem of determining similarity of digraphs are proposedamp;: a generalized substructural-metric approach and an approach using a stratified system of matrix models of the digraph complexity. New features for investigating similarity of digraphs are formulated. The original problem of calculating similarity of layout of fragments in the digraph is formalized with account of quantitative and qualitative features of fragments of the digraph. A methodology, involving two systems of methods for solving the problem, is developed. The first system of methods takes into account the precise layout of fragments in the digraph, while the second one deals with the approximate layout of fragments. A new class of problems is distinguished, which consists in calculating similarity of digraphs with account of similarity of the layout of fragments of the specified type. An example of solving the problem of finding semantic networks that are most similar to a network-template is presented.
Research target: Computer Science
Priority areas: business informatics
Language: English
Keywords: semanticsmatrix modeltwo-graphsstratified systemssemantic networkqualitative featuresfirst systemsdirected graphsproblem solving
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