Predicting the Temperature Dependence of Surfactant CMCs Using Graph Neural Networks.
Christoforos BrozosJan G. RittigSandip BhattacharyaElie AkannyChristina KohlmannAlexander MitsosPublished in: CoRR (2024)
Keyphrases
- neural network
- graph representation
- pattern recognition
- fuzzy logic
- random walk
- bipartite graph
- artificial neural networks
- back propagation
- directed graph
- graph theory
- graph structure
- spanning tree
- connected components
- neural network model
- graph theoretic
- graph databases
- structured data
- graph structures
- graph model
- graph mining
- directed acyclic graph
- neural nets
- graph based algorithm
- temperature control
- graph construction
- random graphs
- multi layer
- training data