Graph neural network for Hamiltonian-based material property prediction.
Hexin BaiPeng ChuJeng-Yuan TsaiNathan WilsonXiaofeng QianQimin YanHaibin LingPublished in: Neural Comput. Appl. (2022)
Keyphrases
- neural network
- prediction model
- prediction accuracy
- artificial neural networks
- graph representation
- graph properties
- graph structure
- prediction algorithm
- graph theory
- neural network model
- multi layer perceptron
- global consistency
- random walk
- chaotic time series
- neural network is trained
- predictive model
- genetic algorithm
- graph model
- bipartite graph
- pattern recognition
- back propagation
- structured data
- bp neural network
- bayesian networks
- graph coloring
- protein interaction
- graph theoretic
- fault diagnosis
- directed acyclic graph
- connected components
- directed graph
- graph matching
- graph construction
- multi layer
- learning vector quantization
- graph based algorithm
- fuzzy logic
- associative memory
- neural nets
- mackey glass
- elman network