Inference for Network Structure and Dynamics from Time Series Data via Graph Neural Network.
Mengyuan ChenJiang ZhangZhang ZhangLun DuQiao HuShuo WangJiaqi ZhuPublished in: CoRR (2020)
Keyphrases
- network structure
- neural network
- dynamic networks
- network topology
- small world
- clustering coefficient
- network analysis
- complex networks
- fuzzy neural network
- graph theory
- social networks
- communication networks
- online social networks
- link prediction
- random graph models
- social influence
- network size
- random walk
- graph partitioning
- structure learning
- bipartite graph
- graph structure
- directed graph
- back propagation
- graph model
- graph mining
- bayesian networks
- dynamical systems
- directed acyclic graph
- network model
- genetic regulatory networks
- neural network model
- neural nets
- artificial neural networks
- maximal cliques
- network properties
- recurrent neural networks
- feed forward
- degree distribution
- real world networks
- weighted graph
- multilayer perceptron