Glycan immunogenicity prediction based on Graph neural network.
Yu WangHui WangMeijie HouYaojun WangDongbo BuChunming ZhangChuncui HuangShiwei SunPublished in: BIBM (2021)
Keyphrases
- neural network
- prediction model
- artificial neural networks
- graph representation
- prediction accuracy
- graph theory
- back propagation
- neural network ensemble
- prediction algorithm
- multi layer perceptron
- connected components
- directed graph
- neural nets
- graph structure
- graph model
- graph theoretic
- chaotic time series
- elman network
- pattern recognition
- fuzzy logic
- multilayer perceptron
- mackey glass
- directed acyclic graph
- feed forward
- spanning tree
- graph partitioning
- protein function prediction
- structured data
- random walk
- image segmentation
- bp neural network
- short term prediction
- neural network is trained
- learning vector quantization
- predictive model
- regression model
- activation function
- fault diagnosis
- prediction error
- weighted graph
- graph matching