Cross-dependent graph neural networks for molecular property prediction.
Hehuan MaYatao BianYu RongWenbing HuangTingyang XuWeiyang XieGeyan YeJunzhou HuangPublished in: Bioinform. (2022)
Keyphrases
- neural network
- protein function prediction
- prediction accuracy
- pattern recognition
- random walk
- artificial neural networks to predict
- prediction model
- graph representation
- genetic algorithm
- directed graph
- neural network ensemble
- graph properties
- graph theory
- multi layer perceptron
- graph model
- weighted graph
- artificial neural networks
- connected components
- neural networks and support vector machines
- three dimensional
- dna computing
- prediction algorithm
- graph mining
- graph matching
- graph structure
- multi layer
- radial basis function neural network
- anti monotonic
- back propagation
- global consistency
- web pages
- graph databases
- self organizing maps
- hiv protease
- neural nets
- drug design
- protein structure prediction
- prediction error
- protein interaction
- graph data
- predictive model
- spanning tree