A convolutional neural network and graph convolutional network-based method for predicting the classification of anatomical therapeutic chemicals.
Haochen ZhaoYaohang LiJianxin WangPublished in: Bioinform. (2021)
Keyphrases
- classification method
- classification accuracy
- support vector machine svm
- convolutional neural network
- detection method
- machine learning methods
- support vector machine
- cross validation
- pattern classification
- preprocessing
- benchmark data sets
- training samples
- similarity measure
- classification algorithm
- decision rules
- clustering method
- unsupervised learning
- graph matching
- graphical models
- graph representation
- accuracy rate
- image segmentation
- objective function
- classification rate
- detection algorithm
- support vector
- model selection
- supervised learning
- pattern recognition
- pairwise
- training set