Zobrazeno 1 - 10
of 3 351
pro vyhledávání: '"graph representation"'
Autor:
Eunwoo Heo, Jae-Hun Jung
Publikováno v:
AIMS Mathematics, Vol 9, Iss 10, Pp 27028-27057 (2024)
Recent studies have actively employed persistent homology (PH), a topological data analysis technique, to analyze the topological information in time series data. Many successful studies have utilized graph representations of time series data for PH
Externí odkaz:
https://doaj.org/article/85e5022f6ecc4a539031564e75a1d079
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 2240-2250 (2024)
The 3D conformations of chromosomes can encode biological significance, and the implications of such structures have been increasingly appreciated recently. Certain chromosome structural features, such as A/B compartmentalization, are frequently extr
Externí odkaz:
https://doaj.org/article/0c0697b30ae44fc49d46b7a871f4414d
Autor:
Shuangkai Han, Lin Liu
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 2034-2048 (2024)
Numerous research results demonstrated that understanding the subcellular localization of non-coding RNAs (ncRNAs) is pivotal in elucidating their roles and regulatory mechanisms in cells. Despite the existence of over ten computational models dedica
Externí odkaz:
https://doaj.org/article/dd6b7997c2784ad098b48d45c037aad4
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 6, Pp 8197-8212 (2024)
Abstract In the field of molecular biology, graph representation learning is crucial for molecular structure analysis. However, challenges arise in recognising functional groups and distinguishing isomers due to a lack of spatial structure informatio
Externí odkaz:
https://doaj.org/article/d09c4c94bc2b46cda84da9d273be2745
Autor:
Boyuan Xu, Yiru Gong, Xiaoyu Geng, Yun Li, Cong Dong, Song Liu, Yuling Liu, Bo Jiang, Zhigang Lu
Publikováno v:
Cybersecurity, Vol 7, Iss 1, Pp 1-14 (2024)
Abstract Advanced Persistent Threats (APTs) achieves internal networks penetration through multiple methods, making it difficult to detect attack clues solely through boundary defense measures. To address this challenge, some research has proposed th
Externí odkaz:
https://doaj.org/article/f11da6db7ba044d8a99df1cee121261b
Autor:
Richárd Kiss, Gábor Szűcs
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 7333-7348 (2024)
Abstract Network science has witnessed a surge in popularity, driven by the transformative power of node representation learning for diverse applications like social network analysis and biological modeling. While shallow embedding algorithms excel a
Externí odkaz:
https://doaj.org/article/f25e9f3a931d4bf19e8156b1aab34faa
Publikováno v:
BMC Biology, Vol 22, Iss 1, Pp 1-13 (2024)
Abstract Background Identification of potential drug-target interactions (DTIs) with high accuracy is a key step in drug discovery and repositioning, especially concerning specific drug targets. Traditional experimental methods for identifying the DT
Externí odkaz:
https://doaj.org/article/41d2b9645faa4e84976a93bed8273248
Autor:
Xueping Han, Xueyong Wang
Publikováno v:
Electronic Research Archive, Vol 32, Iss 5, Pp 3618-3634 (2024)
This paper focused on the point-of-interest (POI) recommendation task. Recently, graph representation learning-based POI recommendation models have gained significant attention due to the powerful modeling capacity of graph structural data. Despite t
Externí odkaz:
https://doaj.org/article/4dbca49b361b48b6ad9f05c42576c859
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 3, Pp 631-644 (2024)
With the rapid advancement of 5G technology, the Internet of Things (IoT) has entered a new phase of applications and is rapidly becoming a significant force in promoting economic development. Due to the vast amounts of data created by numerous 5G Io
Externí odkaz:
https://doaj.org/article/ee30b38845da4a1185ff5a1fc77c41f2
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 134, Iss , Pp 104237- (2024)
Accurate urban traffic forecasting is essential for intelligent transportation systems (ITS). However, the majority of existing forecasting methodologies predominantly concentrate on point-based forecasts (e.g., traffic detector forecasts). A limited
Externí odkaz:
https://doaj.org/article/bb5e4fe05b79469d9626b47343efbfcc