Bayesian Graph Neural Networks for Molecular Property Prediction.
George LambBrooks PaigePublished in: CoRR (2020)
Keyphrases
- neural network
- protein function prediction
- prediction model
- artificial neural networks to predict
- prediction accuracy
- neural network ensemble
- random walk
- multi layer
- drug design
- genetic algorithm
- artificial neural networks
- graph representation
- global consistency
- multi layer perceptron
- graph structure
- graph properties
- bounded degree
- back propagation
- structured data
- bayesian networks
- pattern recognition
- self organizing maps
- protein structure prediction
- prediction algorithm
- radial basis function network
- three dimensional
- graph model
- connected components
- anti monotonic
- graph theory
- neural networks and support vector machines
- chaotic time series
- short term prediction
- protein interaction
- neural network model
- graph theoretic
- complex networks
- spanning tree
- directed graph
- bipartite graph
- maximum likelihood
- multilayer perceptron