Graph Neural Networks for Surfactant Multi-Property Prediction.
Christoforos BrozosJan G. RittigSandip BhattacharyaElie AkannyChristina KohlmannAlexander MitsosPublished in: CoRR (2024)
Keyphrases
- neural network
- prediction accuracy
- prediction model
- artificial neural networks to predict
- pattern recognition
- graph properties
- fuzzy logic
- graph representation
- graph model
- prediction error
- weighted graph
- directed graph
- neural network ensemble
- global consistency
- neural network model
- genetic algorithm
- graph structure
- back propagation
- neural networks and support vector machines
- random walk
- multi layer perceptron
- artificial neural networks
- predictive model
- protein function prediction
- graph based algorithm
- radial basis function neural network
- prediction algorithm
- radial basis function network
- multilayer perceptron
- graph theory
- graph theoretic
- structured data
- graph construction
- neural nets
- competitive learning
- semi supervised
- connected components
- chaotic time series
- fuzzy systems