tattle
发表于 2025-3-25 03:46:36
http://reply.papertrans.cn/24/2308/230704/230704_21.png
CORD
发表于 2025-3-25 10:46:15
Source-Synchronous Networks-On-Chipype of identified structure can be directly learned from the network. Our model outperforms the state-of-the-art model in shedding light on various structural regularities of networks, which are beyond the capability of existing models.
motor-unit
发表于 2025-3-25 12:01:59
Multiscale Community Detection in Networks with Heterogeneous Degree Distributions, heterogeneity of networks by introducing a rescaling transformation into the covariance matrices in our framework. Extensive tests on real world and artificial networks demonstrate that the proposed method possesses high performance at identifying multiscale community structure in heterogeneous networks.
共同给与
发表于 2025-3-25 18:41:31
http://reply.papertrans.cn/24/2308/230704/230704_24.png
疯狂
发表于 2025-3-25 20:14:19
http://reply.papertrans.cn/24/2308/230704/230704_25.png
grovel
发表于 2025-3-26 02:49:18
http://reply.papertrans.cn/24/2308/230704/230704_26.png
xanthelasma
发表于 2025-3-26 06:39:49
2190-5053 es the state-of-the-art development of community detection.P.Community structure is a salient structural characteristic of many real-world networks. Communities are generally hierarchical, overlapping, multi-scale and coexist with other types of structural regularities of networks. This poses major
狂怒
发表于 2025-3-26 10:51:40
https://doi.org/10.1007/978-3-642-76165-2ude community definition, community detection methods, community evolution, measurements for evaluation, and test datasets used in this monograph. We also describe the unresolved problems which deserves much more efforts in the future. This chapter can serve as a brief survey for beginners to the study of community structure in networks.
Projection
发表于 2025-3-26 14:50:25
http://reply.papertrans.cn/24/2308/230704/230704_29.png
allergy
发表于 2025-3-26 16:50:46
Research on the Application of Metaverse Technology in the Field of Intelligent Transportationunities to intelligent transportation, it is also necessary to further improve policy supervision systems, data sharing systems, and information protection mechanisms to prevent potential impacts and risks.