A Graph Convolution-Transformer Neural Network for Drug-Target Interaction Prediction.
Tianjun WangXin LiuPublished in: ICBBT (2022)
Keyphrases
- neural network
- prediction model
- fault diagnosis
- protein interaction
- fuzzy logic
- prediction accuracy
- human computer interaction
- graph theory
- artificial neural networks
- elman network
- bp neural network
- multi layer perceptron
- recurrent neural networks
- weighted graph
- graph structure
- prediction algorithm
- neural nets
- chaotic time series
- regression model
- neural network model
- directed graph
- bipartite graph
- neural network ensemble
- directed acyclic graph
- user interaction
- graph theoretic
- genetic algorithm
- multilayer perceptron
- pattern recognition
- protein function prediction
- expert systems
- random walk
- graph representation
- activation function
- back propagation
- connected components
- graph matching