Distribution Fault Location Using Graph Neural Network with Both Node and Link Attributes.
Hongbo SunShunsuke KawanoDaniel NikovskiTomihiro TakanoKazuyuki MoriPublished in: ISGT-Europe (2021)
Keyphrases
- neural network
- graph structure
- directed graph
- fault diagnosis
- undirected graph
- degree distribution
- strongly connected
- graph representation
- web graph
- attributed graphs
- edge weights
- destination node
- finding the shortest path
- probability distribution
- random walk
- nodes of a graph
- tree structure
- random variables
- densely connected
- bipartite graph
- graph theory
- back propagation
- weighted graph
- neighboring nodes
- fuzzy logic
- graphical models
- spanning tree
- location information
- overlapping communities
- directed acyclic graph
- attribute values
- structured data
- neural network is trained
- graph matching
- connected components
- self organizing maps
- multi attribute
- root node
- random graphs
- leaf nodes
- graph mining
- concept lattice
- bp neural network
- recurrent neural networks
- artificial neural networks
- expert systems
- learning algorithm