Zobrazeno 1 - 10
of 335
pro vyhledávání: '"Luo, Yuhong"'
Autor:
Luo, Yuhong, Li, Pan
Temporal graph representation learning (TGRL) is crucial for modeling complex, dynamic systems in real-world networks. Traditional TGRL methods, though effective, suffer from high computational demands and inference latency. This is mainly induced by
Externí odkaz:
http://arxiv.org/abs/2402.01964
Representation learning is increasingly employed to generate representations that are predictive across multiple downstream tasks. The development of representation learning algorithms that provide strong fairness guarantees is thus important because
Externí odkaz:
http://arxiv.org/abs/2310.15358
Autor:
Luo, Yuhong, Li, Pan
Temporal networks have been widely used to model real-world complex systems such as financial systems and e-commerce systems. In a temporal network, the joint neighborhood of a set of nodes often provides crucial structural information useful for pre
Externí odkaz:
http://arxiv.org/abs/2209.01084
Publikováno v:
Cailiao gongcheng, Vol 52, Iss 3, Pp 176-181 (2024)
To increase the impulse mechanical strength of alumina, the pore structure of alumina was modified by surface coating. It was found that the impulse mechanical strength of alumina samples coated with aluminum chloride increases from 35 MPa to 51 MPa
Externí odkaz:
https://doaj.org/article/4715cd02453c4b2890b357100aa54b93
Autor:
Ou, Hong, Li, Ping, Jiang, Canyu, Liu, Yiqing, Luo, Yuhong, Xing, Zhenyu, Zeb, Akif, Wu, Yongbo, Lin, Xiaoming
Publikováno v:
In Journal of Colloid And Interface Science 15 January 2025 678 Part A:365-377
Publikováno v:
In Molecular Catalysis January 2025 570
Publikováno v:
In Construction and Building Materials 13 December 2024 455
Publikováno v:
In Computational and Theoretical Chemistry July 2024 1237
Publikováno v:
In Chemical Physics 1 March 2024 579
Publikováno v:
In Molecular Catalysis December 2023 551