11 citations · 15 across the 4 of their papers we have counts for
4 papers
Deep-learning-aided dismantling of interdependent networks
Weiwei Gu, Chen Yang, Lei Li +2
Identifying the minimal set of nodes whose removal breaks a complex network apart, also referred as the network dismantling problem, is a highly non-trivial task with applications…
Assessing the Robustness and Reducibility of Multiplex Networks with Embedding-Aided Interlayer Similarities
Haoran Nan, Senquan Wang, Chun Ouyang +2
The study of interlayer similarity of multiplex networks helps to understand the intrinsic structure of complex systems, revealing how changes in one layer can propagate and affect…
An Improved Strategy for Blood Glucose Control Using Multi-Step Deep Reinforcement Learning
Weiwei Gu, Senquan Wang
Blood Glucose (BG) control involves keeping an individual's BG within a healthy range through extracorporeal insulin injections is an important task for people with type 1 diabetes…
Improving link prediction accuracy of network embedding algorithms via rich node attribute information
Weiwei Gu, Jinqiang Hou, Weiyi Gu
Complex networks are widely used to represent an abundance of real-world relations ranging from social networks to brain networks. Inferring missing links or predicting future ones…