Search Results for author: Lingyuan Kong

Found 2 papers, 1 papers with code

GCNSLIM: Graph Convolutional Network with Sparse Linear Methods for E-government Service Recommendation

1 code implementation15 May 2023 Lingyuan Kong, Hao Ding, Guangwei Hu

However, existing GCN-based CF methods are mainly based on matrix factorization and incorporate some optimization tech-niques to enhance performance, which are not enough to handle the complexities of diverse real-world recommendation scenarios.

Music Recommendation

A new Majorana platform in an Fe-As bilayer superconductor

no code implementations1 Jul 2019 Wenyao Liu, Lu Cao, Shiyu Zhu, Lingyuan Kong, Guangwei Wang, Michal Papaj, Peng Zhang, Yabin Liu, Hui Chen, Geng Li, Fazhi Yang, Takeshi Kondo, Shixuan Du, Guanghan Cao, Shik Shin, Liang Fu, Zhiping Yin, Hong-Jun Gao, Hong Ding

On the other hand, some iron-pnictide (Fe-As) superconductors, such as LiFeAs, have been demonstrated to have a similar topological band structure, yet no MZM has been observed in its vortex cores, raising a question of universality of MZM presence in iron-based superconductors.

Superconductivity Strongly Correlated Electrons

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