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Linyuan Lü

Showing results (1-10 of 32) with videos related to

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Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|July 7, 2011
Coarse graining for synchronization in directed networksAn Zeng, Linyuan Lü
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|July 30, 2011
Information filtering via preferential diffusionLinyuan Lü, Weiping Liu
Chaos (Woodbury, N.Y.)|August 3, 2023
Higher-order link prediction via local informationBo Liu, Rongmei Yang, Linyuan Lü
National Science Review|October 25, 2021
Totally homogeneous networksDinghua Shi, Linyuan Lü, Guanrong Chen
Neural Networks : the Official Journal of the International Neural Network Society|June 26, 2025
RIVA: Efficient relational inference with variate attentionRuizi Wu, Liming Pan, Linyuan Lü
Entropy (Basel, Switzerland)|March 28, 2024
Network Higher-Order Structure DismantlingPeng Peng, Tianlong Fan, Linyuan Lü
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|August 16, 2013
Spreading in online social networks: the role of social reinforcementMuhua Zheng, Linyuan Lü, Ming Zhao
Entropy (Basel, Switzerland)|January 28, 2026
A Multi-Branch Training Strategy for Enhancing Neighborhood Signals in GNNs for Community DetectionYuning Guo, Qiang Wu, Linyuan Lü
Scientific Reports|February 5, 2013
Deviation of Zipf's and Heaps' Laws in human languages with limited dictionary sizesLinyuan Lü, Zi-Ke Zhang, Tao Zhou
Entropy (Basel, Switzerland)|April 26, 2025
Finding Key Nodes in Complex Networks Through Quantum Deep Reinforcement LearningJuechan Xiong, Xiao-Long Ren, Linyuan Lü
Pageof 4

Showing results (1-10 of 32) with videos related to

Sort By:
Pageof 4
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|July 7, 2011
Coarse graining for synchronization in directed networksAn Zeng, Linyuan Lü
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|July 30, 2011
Information filtering via preferential diffusionLinyuan Lü, Weiping Liu
Chaos (Woodbury, N.Y.)|August 3, 2023
Higher-order link prediction via local informationBo Liu, Rongmei Yang, Linyuan Lü
National Science Review|October 25, 2021
Totally homogeneous networksDinghua Shi, Linyuan Lü, Guanrong Chen
Neural Networks : the Official Journal of the International Neural Network Society|June 26, 2025
RIVA: Efficient relational inference with variate attentionRuizi Wu, Liming Pan, Linyuan Lü
Entropy (Basel, Switzerland)|March 28, 2024
Network Higher-Order Structure DismantlingPeng Peng, Tianlong Fan, Linyuan Lü
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|August 16, 2013
Spreading in online social networks: the role of social reinforcementMuhua Zheng, Linyuan Lü, Ming Zhao
Entropy (Basel, Switzerland)|January 28, 2026
A Multi-Branch Training Strategy for Enhancing Neighborhood Signals in GNNs for Community DetectionYuning Guo, Qiang Wu, Linyuan Lü
Scientific Reports|February 5, 2013
Deviation of Zipf's and Heaps' Laws in human languages with limited dictionary sizesLinyuan Lü, Zi-Ke Zhang, Tao Zhou
Entropy (Basel, Switzerland)|April 26, 2025
Finding Key Nodes in Complex Networks Through Quantum Deep Reinforcement LearningJuechan Xiong, Xiao-Long Ren, Linyuan Lü
Pageof 4