A Scalable AutoML Approach Based on Graph Neural Networks.
Mossad HelaliEssam MansourIbrahim AbdelazizJulian DolbyKavitha SrinivasPublished in: CoRR (2021)
Keyphrases
- neural network
- graph theory
- pattern recognition
- graph structure
- graph based algorithm
- connected components
- graph representation
- artificial neural networks
- feed forward
- random walk
- fuzzy logic
- weighted graph
- neural nets
- bipartite graph
- highly scalable
- graph theoretic
- network architecture
- graph model
- directed acyclic graph
- dependency graph
- recurrent neural networks
- multilayer perceptron
- directed graph
- self organizing maps
- graph matching
- structured data
- back propagation
- lightweight
- graph search
- graph structures
- search algorithm
- social networks