Zobrazeno 1 - 10
of 2 904
pro vyhledávání: '"A P, Galkin"'
Autor:
Ivanov, V. A., Galkin, V. I., Bonvech, E. A., Roganova, T. M., Chernov, D. V., Podgrudkov, D. A., Ziva, M. D., Latypova, V. S., Azra, C. G., Entina, E. L.
The study of cosmic rays in the energy range from 1 to 1000 PeV is crucial for understanding their origins and propagation paths. As part of this research, a new SPHERE-3 installation is being developed, featuring enhanced light sensitivity and optic
Externí odkaz:
http://arxiv.org/abs/2410.14921
Recent equivariant models have shown significant progress in not just chemical property prediction, but as surrogates for dynamical simulations of molecules and materials. Many of the top performing models in this category are built within the framew
Externí odkaz:
http://arxiv.org/abs/2410.08131
Autor:
Entina, E. L., Podgrudkov, D. A., Azra, C. G., Bonvech, E. A., Cherkesova, O. V., Chernov, D. V., Galkin, V. I., Ivanov, V. A., Kolodkin, T. A., Ovcharenko, N. O., Roganova, T. M., Ziva, M. D.
A new SPHERE-3 telescope is being developed for cosmic rays spectrum and mass composition studies in the 5--1000 PeV energy range. Registration of extensive air showers using reflected Cherenkov light method applied in the SPHERE detector series requ
Externí odkaz:
http://arxiv.org/abs/2410.01781
Traditional query answering over knowledge graphs -- or broadly over relational data -- is one of the most fundamental problems in data management. Motivated by the incompleteness of modern knowledge graphs, a new setup for query answering has emerge
Externí odkaz:
http://arxiv.org/abs/2409.13959
Autor:
Gastinger, Julia, Huang, Shenyang, Galkin, Mikhail, Loghmani, Erfan, Parviz, Ali, Poursafaei, Farimah, Danovitch, Jacob, Rossi, Emanuele, Koutis, Ioannis, Stuckenschmidt, Heiner, Rabbany, Reihaneh, Rabusseau, Guillaume
Multi-relational temporal graphs are powerful tools for modeling real-world data, capturing the evolving and interconnected nature of entities over time. Recently, many novel models are proposed for ML on such graphs intensifying the need for robust
Externí odkaz:
http://arxiv.org/abs/2406.09639
Autor:
Zhao, Jianan, Mostafa, Hesham, Galkin, Mikhail, Bronstein, Michael, Zhu, Zhaocheng, Tang, Jian
Foundation models that can perform inference on any new task without requiring specific training have revolutionized machine learning in vision and language applications. However, applications involving graph-structured data remain a tough nut for fo
Externí odkaz:
http://arxiv.org/abs/2405.20445
The floorplanning of Systems-on-a-Chip (SoCs) and of chip sub-systems is a crucial step in the physical design flow as it determines the optimal shapes and locations of the blocks that make up the system. Simulated Annealing (SA) has been the method
Externí odkaz:
http://arxiv.org/abs/2405.05495
Floorplanning for systems-on-a-chip (SoCs) and its sub-systems is a crucial and non-trivial step of the physical design flow. It represents a difficult combinatorial optimization problem. A typical large scale SoC with 120 partitions generates a sear
Externí odkaz:
http://arxiv.org/abs/2405.05480
Autor:
Mao, Haitao, Chen, Zhikai, Tang, Wenzhuo, Zhao, Jianan, Ma, Yao, Zhao, Tong, Shah, Neil, Galkin, Mikhail, Tang, Jiliang
Graph Foundation Models (GFMs) are emerging as a significant research topic in the graph domain, aiming to develop graph models trained on extensive and diverse data to enhance their applicability across various tasks and domains. Developing GFMs pre
Externí odkaz:
http://arxiv.org/abs/2402.02216
Autor:
Blinov V. Dmitry, Antonina G. Solopova, Elena V. Gameeva, Nazim G. Badalov, Vsevolod N. Galkin, Mikhail A. Eremushkin, Alexandra M. Stepanova, Alexander E. Ivanov, Olga S. Gridasova
Publikováno v:
Вестник восстановительной медицины, Vol 23, Iss 5, Pp 52-60 (2024)
Introduction. Surgical treatment of vulvar cancer (VC) entails mental and somatic disturbances due to pain, body image changes, and sexual dysfunction, which are closely associated with impaired social functioning and reduced overall quality of life.
Externí odkaz:
https://doaj.org/article/00e86536f8ce4c82a9157d8341737d24
