Universal Invariant and Equivariant Graph Neural Networks.
Nicolas KerivenGabriel PeyréPublished in: NeurIPS (2019)
Keyphrases
- neural network
- pattern recognition
- graph theoretic
- graph structure
- artificial neural networks
- random walk
- structured data
- back propagation
- graph representation
- affine transformation
- graph model
- dependency graph
- feed forward
- graph theory
- genetic algorithm
- graph partitioning
- multilayer perceptron
- neural network model
- connected components
- fuzzy logic
- bipartite graph
- neural nets
- recurrent neural networks
- invariant features
- directed graph
- graph based algorithm