Zobrazeno 1 - 10
of 251
pro vyhledávání: '"Jiang Jiaojiao"'
Autor:
Ren, Hao, Jiang, Jiaojiao
As the calculation of centrality in complex networks becomes increasingly vital across technological, biological, and social systems, precise and scalable ranking methods are essential for understanding these networks. This paper introduces LayerPlex
Externí odkaz:
http://arxiv.org/abs/2405.05576
Autor:
Sun Changlei, Zhao Wei, Duan Wenjuan, Yang Peng, Yang Bingtian, Jiang Jiaojiao, Li Jia, Wang Xiao
Publikováno v:
Chemical Industry and Chemical Engineering Quarterly, Vol 24, Iss 1, Pp 1-7 (2018)
Berberidis radix, as a traditional Chinese herbal medicine, is well known as the main source of berberine. This herbal medicine has been used for the treatment of many diseases and alkaloids including jatrorrhizine, palmatine, and berberine are major
Externí odkaz:
https://doaj.org/article/da133f720c024c6887f567b82ca306cb
Publikováno v:
Complex Networks & Their Applications XII (2024) 62-74
Recent advances have focused mainly on the resilience of the monoplex network in attacks targeting random nodes or links, as well as the robustness of the network against cascading attacks. However, very little research has been done to investigate t
Externí odkaz:
http://arxiv.org/abs/2309.07617
The spread of fake news has caused great harm to society in recent years. So the quick detection of fake news has become an important task. Some current detection methods often model news articles and other related components as a static heterogeneou
Externí odkaz:
http://arxiv.org/abs/2205.07039
Publikováno v:
In Knowledge-Based Systems 9 October 2024 301
Publikováno v:
In Bioresource Technology June 2024 402
Recent works for attributed network clustering utilize graph convolution to obtain node embeddings and simultaneously perform clustering assignments on the embedding space. It is effective since graph convolution combines the structural and attributi
Externí odkaz:
http://arxiv.org/abs/2104.07295
Autor:
Jiang, Jiaojiao, Jha, Sanjay
In graph theory and network analysis, node degree is defined as a simple but powerful centrality to measure the local influence of node in a complex network. Preferential attachment based on node degree has been widely adopted for modeling network gr
Externí odkaz:
http://arxiv.org/abs/2103.00487
Publikováno v:
In Composites Science and Technology 22 March 2024 248