A Graph Neural Network Approach for Caching Performance Optimization in NDN Networks.
Jiacheng HouHuanzhang XiaHaoye LuAmiya NayakPublished in: IEEE Access (2022)
Keyphrases
- neural network
- network model
- average degree
- graph structure
- random walk
- graph structures
- optimization algorithm
- complex networks
- image reconstruction from projections
- small world
- artificial neural networks
- optimization problems
- network analysis
- back propagation
- graph theory
- fuzzy logic
- bp neural network
- community discovery
- clustering coefficient
- directed edges
- network structure
- dynamic networks
- fully connected
- recurrent networks
- query processing
- edge weights
- spanning tree
- self organizing maps
- weighted graph
- neural nets
- connected components
- neural network model
- feed forward
- fault diagnosis
- directed acyclic graph
- optimization method
- structured data
- overlapping communities
- spiking neurons
- graph matching
- recurrent neural networks
- path length
- semi supervised
- prefetching
- graphical representation
- biological networks