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Mincheng Wu

Showing results (1-10 of 5) with videos related to

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Scientific Reports|November 11, 2025
Controllability preservation in complex networks via minimal edge configurationsZhuo Sun, Yifan Liu, Rui Zhou, et al.
Communications Physics|July 5, 2022
Discrimination reveals reconstructability of multiplex networks from partial observationsMincheng Wu, Jiming Chen, Shibo He, et al.
Entropy (Basel, Switzerland)|January 21, 2023
Reconstructing Sparse Multiplex Networks with Application to Covert NetworksJin-Zhu Yu, Mincheng Wu, Gisela Bichler, et al.
Proceedings of the National Academy of Sciences of the United States of America|July 19, 2019
A tensor-based framework for studying eigenvector multicentrality in multilayer networksMincheng Wu, Shibo He, Yongtao Zhang, et al.
Communications Physics|November 14, 2022
Use of temporal contact graphs to understand the evolution of COVID-19 through contact tracing dataMincheng Wu, Chao Li, Zhangchong Shen, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Scientific Reports|November 11, 2025
Controllability preservation in complex networks via minimal edge configurationsZhuo Sun, Yifan Liu, Rui Zhou, et al.
Communications Physics|July 5, 2022
Discrimination reveals reconstructability of multiplex networks from partial observationsMincheng Wu, Jiming Chen, Shibo He, et al.
Entropy (Basel, Switzerland)|January 21, 2023
Reconstructing Sparse Multiplex Networks with Application to Covert NetworksJin-Zhu Yu, Mincheng Wu, Gisela Bichler, et al.
Proceedings of the National Academy of Sciences of the United States of America|July 19, 2019
A tensor-based framework for studying eigenvector multicentrality in multilayer networksMincheng Wu, Shibo He, Yongtao Zhang, et al.
Communications Physics|November 14, 2022
Use of temporal contact graphs to understand the evolution of COVID-19 through contact tracing dataMincheng Wu, Chao Li, Zhangchong Shen, et al.
Pageof 1