Scalable Out-of-Sample Extension of Graph Embeddings Using Deep Neural Networks.
Aren JansenGregory SellVince LyzinskiPublished in: CoRR (2015)
Keyphrases
- neural network
- graph representation
- pattern recognition
- multilayer perceptron
- graph theory
- back propagation
- artificial neural networks
- multi layer
- weighted graph
- graph structure
- random walk
- directed graph
- link analysis
- directed acyclic graph
- highly scalable
- bipartite graph
- recurrent neural networks
- graph clustering
- graph matching
- feed forward
- self organizing maps
- structured data
- dimensionality reduction
- nearest neighbor
- neural network model
- low dimensional
- fuzzy logic
- high dimensional
- graph model
- graph databases
- bayesian networks
- feature selection
- web scale
- data sets