Zobrazeno 1 - 10
of 7 082
pro vyhledávání: '"link prediction"'
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 10, Pp 2668-2677 (2024)
Temporal graphs aim to characterize the dynamic interactions among entities in real-world scenarios, while temporal link prediction is an essential method for modeling such relationships. Existing representation learning-based methods for temporal gr
Externí odkaz:
https://doaj.org/article/a53ae933ae50402abc5891b7f44416c9
Autor:
Elham Asadi, Soodeh Hosseini
Publikováno v:
Applied Network Science, Vol 9, Iss 1, Pp 1-29 (2024)
Abstract In this paper, we present a new malware propagation model that integrates epidemic spread, clustering, and link prediction techniques, tailored for complex network networks. Our model is based on the clustered-link prediction-susceptible-exp
Externí odkaz:
https://doaj.org/article/cc1eea3a5d7d4b79af004abc63d92e52
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Inferring gene regulatory networks through deep learning and causal inference methods is a crucial task in the field of computational biology and bioinformatics. This study presents a novel approach that uses a Graph Convolutional Network (G
Externí odkaz:
https://doaj.org/article/54817533ad224a13a909bd864da8aaed
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Drug repurposing aims to find new therapeutic applications for existing drugs in the pharmaceutical market, leading to significant savings in time and cost. The use of artificial intelligence and knowledge graphs to propose repurposing candi
Externí odkaz:
https://doaj.org/article/214bcb1e00c6445daeae7c62296c2045
Publikováno v:
Fuzzy Information and Engineering, Vol 16, Iss 2, Pp 155-174 (2024)
We aim to predict links in fuzzy social networks, where the existing methods based on common neighbors of two nodes are not effective. These methods are local measures that only work when the shortest distance between two nodes is less than or equal
Externí odkaz:
https://doaj.org/article/db24115b967e41c9afe537bc3fb41e67
Publikováno v:
网络与信息安全学报, Vol 10, Iss 3, Pp 52-65 (2024)
An effective method for the internal interaction within modeling reality systems is provided by graphs; however, they have been unable to effectively display and capture the high-order heterogeneity that widely exists between multiple entities. Hyper
Externí odkaz:
https://doaj.org/article/bbaa806b049a433eba7a3b50cd276190
Autor:
Yadi HE, Linfeng LIU
Publikováno v:
网络与信息安全学报, Vol 10, Iss 3, Pp 117-129 (2024)
Link prediction, the process of uncovering potential relationships between nodes in a network through the use of deep learning techniques, is commonly applied in fields such as network security and information mining. It has been utilized to identify
Externí odkaz:
https://doaj.org/article/1b7fcc1e1a02490988fc7d2543cf0fa9
Autor:
Zi-chao Chen, Sui Lin
Publikováno v:
Autonomous Intelligent Systems, Vol 4, Iss 1, Pp 1-12 (2024)
Abstract The integration of Dynamic Graph Neural Networks (DGNNs) with Smart Manufacturing is crucial as it enables real-time, adaptive analysis of complex data, leading to enhanced predictive accuracy and operational efficiency in industrial environ
Externí odkaz:
https://doaj.org/article/7523802c8a044ec9887db49b467d4ea6
Autor:
Ilya Tyagin, Ilya Safro
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-28 (2024)
Abstract Background Automated hypothesis generation (HG) focuses on uncovering hidden connections within the extensive information that is publicly available. This domain has become increasingly popular, thanks to modern machine learning algorithms.
Externí odkaz:
https://doaj.org/article/489eff1b44b941ed91aa87937ac56c1d
Autor:
Benjamin Leinwand, Vladas Pipiras
Publikováno v:
Applied Network Science, Vol 9, Iss 1, Pp 1-27 (2024)
Abstract In recommender systems, users rate items, and are subsequently served other product recommendations based on these ratings. Even though users usually rate a tiny percentage of the available items, the system tries to estimate unobserved pref
Externí odkaz:
https://doaj.org/article/895490ca819f4687859fa6517a67880c