Graph Neural Networks for Temperature-Dependent Activity Coefficient Prediction of Solutes in Ionic Liquids.
Jan G. RittigKarim Ben HichamArtur M. SchweidtmannManuel DahmenAlexander MitsosPublished in: CoRR (2022)
Keyphrases
- neural network
- heat transfer
- artificial neural networks to predict
- prediction accuracy
- prediction model
- pattern recognition
- neural networks and support vector machines
- air temperature
- relative humidity
- random walk
- multi layer perceptron
- graph representation
- graph model
- multi layer
- prediction error
- graph matching
- neural network ensemble
- fuzzy logic
- wind speed
- prediction algorithm
- protein function prediction
- meteorological data
- weighted graph
- graph structure
- multilayer perceptron
- artificial neural networks
- radial basis function neural network
- recurrent neural networks
- directed graph
- back propagation
- learning algorithm
- directed acyclic graph
- graph theory
- bipartite graph
- graph based algorithm
- human activities
- chaotic time series
- fault diagnosis
- genetic algorithm