Reconstruction of Commuting Networks: A Distance-Tiered Graph Neural Network Approach.
Jianfeng ZhouWallace K. S. TangPublished in: IEEE Trans. Netw. Sci. Eng. (2023)
Keyphrases
- neural network
- average degree
- image reconstruction from projections
- edge weights
- complex networks
- fully connected
- artificial neural networks
- distance measure
- random walk
- network size
- graph structures
- path length
- small world
- three dimensional
- dynamic networks
- distance matrix
- clustering coefficient
- network analysis
- network model
- structured data
- social networks
- neighborhood graph
- bipartite graph
- graph theory
- graph structure
- weighted graph
- overlapping communities
- image reconstruction
- structural patterns
- pattern recognition
- euclidean distance
- reconstruction process
- genetic algorithm
- fuzzy logic
- betweenness centrality
- connected components
- self organizing maps
- neural network model
- feed forward
- recurrent neural networks
- network structure
- network architecture
- graph representation
- fault diagnosis
- activation function
- back propagation
- similarity measure
- citation networks
- graph mining
- discrete tomography
- degree distribution
- spiking neurons
- distance function
- protein interaction networks
- neural network is trained
- directed edges