Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Xingye Deng"'
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 10, Pp 101855- (2023)
Network representation learning is an important tool for extracting latent features from heterogeneous networks to enhance downstream analysis tasks. However, for heterogeneous networks in the era of big data, their heterogeneity, unseen network nois
Externí odkaz:
https://doaj.org/article/54748d80f55e4a16956baa78c83cf363
Publikováno v:
Energies, Vol 16, Iss 17, p 6125 (2023)
Clustering-based reactive voltage partitioning is successful in reducing grid cascading faults, by using clustering methods to categorize different power-consuming entities in the power grid into distinct regions. In reality, each power-consuming ent
Externí odkaz:
https://doaj.org/article/efdddca91870419fbaedc29ae24b6172
Publikováno v:
Mathematics, Vol 11, Iss 13, p 2974 (2023)
Edge embedding is a technique for constructing low-dimensional feature vectors of edges in heterogeneous graphs, which are also called heterogeneous information networks (HINs). However, edge embedding research is still in its early stages, and few w
Externí odkaz:
https://doaj.org/article/d6112ea8bd914d41890dba213009f4a3
Publikováno v:
Applied Sciences, Vol 12, Iss 10, p 4986 (2022)
As a core tool, anomaly detection based on a generative adversarial network (GAN) is showing its powerful potential in protecting the safe and stable operation of industrial control systems (ICS) under the Internet of Things (IoT). However, due to th
Externí odkaz:
https://doaj.org/article/fb73f657fb50465a947a66fc794581b1
Publikováno v:
Mathematics; Volume 11; Issue 13; Pages: 2974
Edge embedding is a technique for constructing low-dimensional feature vectors of edges in heterogeneous graphs, which are also called heterogeneous information networks (HINs). However, edge embedding research is still in its early stages, and few w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::34a4d271fa5cf5ec102f6a554daee51d
Publikováno v:
2022 3rd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c513f0c65d05be483abc6bc375133724
https://doi.org/10.1109/icbaie56435.2022.9985904
https://doi.org/10.1109/icbaie56435.2022.9985904
Publikováno v:
Journal of Computational Science. 63:101825
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa47734e6de62daf966c5a1c60e21a06
https://doi.org/10.1016/j.jocs.2022.101825
https://doi.org/10.1016/j.jocs.2022.101825