Zobrazeno 1 - 10
of 1 825
pro vyhledávání: '"Graph convolution network"'
Publikováno v:
Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-15 (2024)
Abstract Social media platforms like Twitter and Facebook have gradually become vital for communication and information exchange. However, this often leads to the spread of unreliable or false information, such as harmful rumors. Currently, graph con
Externí odkaz:
https://doaj.org/article/492535560a3e4baf930d83f906f7cefc
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-19 (2024)
Abstract Background The integration of multi-omics data through deep learning has greatly improved cancer subtype classification, particularly in feature learning and multi-omics data integration. However, key challenges remain in embedding sample st
Externí odkaz:
https://doaj.org/article/912cfbb6e5f945dbb5448023c3191a94
Autor:
Yuqi Liu, Enshuo Zhu, Qinghe Wang, Junhong Li, Shujun Liu, Yaowen Hu, Yuhang Han, Guoxiong Zhou, Renxiang Guan
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 1139-1152 (2025)
Graph convolution subspace clustering has been widely used in the field of hyperspectral image (HSI) unsupervised classification due to its ability to aggregate neighborhood information. However, existing methods focus on using graph convolution tech
Externí odkaz:
https://doaj.org/article/6f45bcf7fd7f4826abe31e33b955c2b7
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 3, Pp 1818-1839 (2024)
Studying gene regulatory networks (GRNs) is paramount for unraveling the complexities of biological processes and their associated disorders, such as diabetes, cancer, and Alzheimer’s disease. Recent advancements in computational biology have aimed
Externí odkaz:
https://doaj.org/article/27865070abf94a3c8675d7d1e78f8c48
Publikováno v:
ICT Express, Vol 10, Iss 4, Pp 792-797 (2024)
To solve the spectrum scarcity problem, dynamic spectrum access (DSA) technology has emerged as a promising solution. Effectively implementing DSA demands accurate and efficient spectrum prediction. However, complex spatiotemporal correlation and het
Externí odkaz:
https://doaj.org/article/5f96f8b77f6a439aa66c0f98302099ee
Autor:
Shuhui Gong, Jialong Liu, Yuchen Yang, Jingyi Cai, Gaoran Xu, Rui Cao, Changfeng Jing, Yu Liu
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTSpatial interaction research is particularly important for geographical analyses, as it plays a crucial role in extracting travel patterns. However, previous studies on spatial interactions have not adequately considered regional population v
Externí odkaz:
https://doaj.org/article/cd827db2257f45b5bb24a1947ec922b3
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6647-6665 (2024)
Abstract In the field of autonomous driving, trajectory prediction of traffic agents is an important and challenging problem. Fully capturing the complex spatio-temporal features in trajectory data is crucial for accurate trajectory prediction. This
Externí odkaz:
https://doaj.org/article/57980a275c76442291cc1c97fa002b80
Publikováno v:
International Journal of Crowd Science, Vol 8, Iss 2, Pp 65-70 (2024)
As a typical representative of mental disorders, anxiety and depression disorders have occupied a large number of people after the outbreak of the new crown epidemic. However, anxiety and depressive disorders are detected by screening with clinical s
Externí odkaz:
https://doaj.org/article/f56620a4868d41e9a9a34e3ecc246058
Publikováno v:
大数据, Vol 10, Pp 82-92 (2024)
Event causality identification is an important task of relationship extraction, which has received much attention recent years.Most of the existing methods separate syntactic structure from the background knowledge information.The early causality ext
Externí odkaz:
https://doaj.org/article/12dad02008204f4d9fd955da38b0175b
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-15 (2024)
Abstract The rapid advancement of microservice architecture in the cloud has led to the necessity of effectively detecting, classifying, and diagnosing run failures in microservice applications. Due to the high dynamics of cloud environments and the
Externí odkaz:
https://doaj.org/article/da0f8b1f46224185990f44be786bd122