Stochastic Aggregation in Graph Neural Networks.
Yuanqing WangTheofanis KaraletsosPublished in: CoRR (2021)
Keyphrases
- neural network
- pattern recognition
- graph theory
- artificial neural networks
- graph representation
- graph structure
- genetic algorithm
- back propagation
- bipartite graph
- neural network model
- monte carlo
- random walk
- fuzzy logic
- spanning tree
- weighted graph
- graph theoretic
- stochastic optimization
- multilayer perceptron
- recurrent neural networks
- feed forward
- directed graph
- connected components
- structured data
- neural nets
- graph matching
- radial basis function
- graph mining
- data aggregation
- probabilistic model
- graph construction
- hopfield neural network
- graph based algorithm