Biochemical Pathway Robustness Prediction with Graph Neural Networks.
Marco PoddaAlessio MicheliDavide BacciuPaolo MilazzoPublished in: ESANN (2020)
Keyphrases
- neural network
- prediction accuracy
- signal transduction pathways
- prediction model
- artificial neural networks to predict
- fuzzy logic
- graph theory
- graph structure
- graph representation
- graph matching
- experimental data
- graph theoretic
- neural nets
- artificial neural networks
- neural network ensemble
- radial basis function network
- pattern recognition
- neural networks and support vector machines
- protein interaction
- graph model
- weighted graph
- connected components
- multi layer perceptron
- random walk
- fuzzy systems
- prediction error
- bipartite graph
- recurrent neural networks