Quantitative Evaluation of Explainable Graph Neural Networks for Molecular Property Prediction.
Jiahua RaoShuangjia ZhengYuedong YangPublished in: CoRR (2021)
Keyphrases
- quantitative evaluation
- neural network
- protein function prediction
- ground truth
- qualitative evaluation
- ground truth data
- artificial neural networks to predict
- graph properties
- prediction accuracy
- genetic algorithm
- prediction model
- brain mr images
- graph theory
- multi layer perceptron
- error measure
- neural networks and support vector machines
- neural network ensemble
- pattern recognition
- graph representation
- fuzzy logic
- radial basis function network
- directed graph
- weighted graph
- artificial neural networks
- protein structure prediction
- graph mining
- quality assessment
- keywords
- three dimensional
- graph theoretic
- back propagation
- graph structure
- microarray
- multilayer perceptron
- neural network model