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August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Combinatorics and Algorithms for Quasi-Chain Graphs

Algorithmica. 2023. Vol. 85. No. 3. P. 642–664.
Alecu B., Atminas A., Vadim Lozin, Malyshev D.

The class of quasi-chain graphs is an extension of the well-studied class of chain
graphs. This latter class enjoys many nice and important properties, such as bounded
clique-width, implicit representation, well-quasi-ordering by induced subgraphs, etc.
The class of quasi-chain graphs is substantially more complex. In particular, this class
is not well-quasi-ordered by induced subgraphs, and the clique-width is not bounded
in it. In the present paper, we show that the universe of quasi-chain graphs is at least as
complex as the universe of permutations by establishing a bijection between the class
of all permutations and a subclass of quasi-chain graphs.This implies, in particular, that
the induced subgraph isomorphism problem is NP-complete for quasi-chain graphs.
On the other hand, we propose a decomposition theorem for quasi-chain graphs that
implies an implicit representation for graphs in this class and efficient solutions for
some algorithmic problems that are generally intractable.

Research target: Computer Science Mathematics
Language: English
Full text
DOI
Text on another site
Keywords: polynomial-time algorithmbipartite graphsimplicit representation
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