Predicting functional effect of missense variants using graph attention neural networks.
Haicang ZhangMichelle S. XuXiao FanWendy K. ChungYufeng ShenPublished in: Nat. Mac. Intell. (2022)
Keyphrases
- neural network
- pattern recognition
- graph representation
- graph theory
- genetic algorithm
- graph structure
- visual attention
- feed forward
- dependency graph
- graph theoretic
- weighted graph
- neural network model
- connected components
- fuzzy logic
- directed graph
- artificial neural networks
- graph model
- random walk
- shortest path
- neural nets
- multilayer perceptron
- structured data
- fault diagnosis
- graph matching
- data sets
- fuzzy systems
- directed acyclic graph
- graph mining
- spanning tree
- mobile robot
- focus of attention
- search algorithm
- predicting protein