NeuralMon: Graph Neural Network for Flow Measurement Allocation.
Yang WangXiong WangZhuobin HuangCi HeYasheng ZhangShizhong XuPublished in: GLOBECOM (2021)
Keyphrases
- neural network
- graph structure
- weighted graph
- flow velocity
- random walk
- pattern recognition
- back propagation
- graph theoretic
- artificial neural networks
- neural nets
- neural network model
- graph matching
- graph representation
- flow field
- graph theory
- data acquisition
- flow patterns
- fuzzy neural network
- information flow
- max flow
- fuzzy artmap
- graph databases
- min cost
- neural network is trained
- structured data
- connected components
- recurrent neural networks
- optimal allocation
- fuzzy logic
- genetic algorithm
- allocation problems
- graph construction
- feed forward neural networks
- graph partitioning
- spanning tree
- graph model
- multi layer
- feed forward
- directed graph