PathSAGE: Spatial Graph Attention Neural Networks with Random Path Sampling.
Junhua MaJiajun LiXueming LiXu LiPublished in: ICONIP (2) (2021)
Keyphrases
- neural network
- pattern recognition
- spatio temporal
- solution path
- sampled data
- graph representation
- spatial data
- weighted graph
- spatial information
- directed graph
- shortest path problem
- spatial and temporal
- graph model
- shortest path
- path length
- randomly distributed
- hamiltonian path
- genetic algorithm
- connected components
- fuzzy logic
- back propagation
- random samples
- recurrent neural networks
- random walk
- graph theory
- graph structure
- space time
- spatial distribution
- fault diagnosis
- strongly connected
- neighborhood graph
- graph theoretic
- structured data
- neural nets
- graph mining
- random sampling
- sample size
- edge weights
- associative memory
- spatial relations
- graphical models
- adjacency matrix
- graph matching
- root node
- feed forward
- neural network model
- artificial neural networks
- bayesian networks