Gibbs-Helmholtz Graph Neural Network: capturing the temperature dependency of activity coefficients at infinite dilution.
Edgar Ivan Sanchez MedinaSteffen LinkeMartin StollKai SundmacherPublished in: CoRR (2022)
Keyphrases
- neural network
- dependency graph
- ultrasonic flow measurement
- temperature control
- linear combination
- graph representation
- connected components
- back propagation neural network
- back propagation
- self organizing maps
- human activities
- recurrent neural networks
- graph theory
- bipartite graph
- graph matching
- directed graph
- pattern recognition
- artificial neural networks
- structured data
- monte carlo
- neural network model
- wavelet coefficients
- graph structure
- graph mining
- network architecture
- graph databases
- spanning tree
- graph theoretic
- random walk
- fuzzy logic
- high temperature
- neural network is trained
- basis functions
- continuous stirred tank reactor