Deterministic sampling in heterogeneous graph neural networks.
Fatemeh AnsarizadehDavid B. H. TayDhananjay R. ThiruvadyAntonio Robles-KellyPublished in: Pattern Recognit. Lett. (2023)
Keyphrases
- neural network
- graph theory
- pattern recognition
- graph structure
- feed forward
- structured data
- artificial neural networks
- random sampling
- weighted graph
- random walk
- back propagation
- sample size
- black box
- graph matching
- directed graph
- graph representation
- training process
- connected components
- graph mining
- multilayer perceptron
- spanning tree
- edge weights
- sampling algorithm
- frequent subgraph mining
- fuzzy systems
- multi layer
- neural nets
- self organizing maps
- fault diagnosis
- knn
- active learning
- real world