Metapath-aggregated heterogeneous graph neural network for drug-target interaction prediction.
Mei LiXiangrui CaiSihan XuHua JiPublished in: Briefings Bioinform. (2023)
Keyphrases
- neural network
- prediction model
- protein interaction
- prediction accuracy
- directed graph
- multi layer perceptron
- human computer interaction
- protein function prediction
- graph representation
- chaotic time series
- random walk
- back propagation
- fuzzy logic
- protein protein interactions
- graph theory
- feed forward neural networks
- weighted graph
- user interaction
- bayesian networks
- predictive model
- pattern recognition
- graph mining
- mackey glass
- multi layer
- prediction error
- graph construction
- recurrent neural networks
- neural network ensemble
- prediction algorithm
- graph theoretic
- network model
- elman network
- activation function
- graph partitioning
- graph databases
- fuzzy neural network
- network architecture
- graph model
- graph structure
- bipartite graph
- feed forward
- self organizing maps
- artificial neural networks
- genetic algorithm