61 citations · 79 across the 6 of their papers we have counts for
6 papers
Neural Network Pruning by Gradient Descent
Zhang Zhang, Ruyi Tao, Jiang Zhang
The rapid increase in the parameters of deep learning models has led to significant costs, challenging computational efficiency and model interpretability. In this paper, we introd…
Completing Networks by Learning Local Connection Patterns
Zhang Zhang, Ruyi Tao, Yongzai Tao +2
Network completion is a harder problem than link prediction because it does not only try to infer missing links but also nodes. Different methods have been proposed to solve this p…
Inferring Network Structure with Unobservable Nodes from Time Series Data
Mengyuan Chen, Yan Zhang, Zhang Zhang +2
Network structures play important roles in social, technological and biological systems. However, the observable nodes and connections in real cases are often incomplete or unavail…
A Universal Framework for Reconstructing Complex Networks and Node Dynamics from Discrete or Continuous Dynamics Data
Yan Zhang, Yu Guo, Zhang Zhang +3
Many dynamical processes of complex systems can be understood as the dynamics of a group of nodes interacting on a given network structure. However, finding such interaction struct…
Inference for Network Structure and Dynamics from Time Series Data via Graph Neural Network
Mengyuan Chen, Jiang Zhang, Zhang Zhang +4
Network structures in various backgrounds play important roles in social, technological, and biological systems. However, the observable network structures in real cases are often…
A General Deep Learning Framework for Network Reconstruction and Dynamics Learning
Zhang Zhang, Yi Zhao, Jing Liu +4
Many complex processes can be viewed as dynamical systems on networks. However, in real cases, only the performances of the system are known, the network structure and the dynamica…