Code Revert Prediction with Graph Neural Networks: A Case Study at J.P. Morgan Chase.
Yulong PeiSalwa AlamirRares DolgaSameena ShahPublished in: SDD@SIGSOFT FSE (2023)
Keyphrases
- neural network
- artificial neural networks to predict
- prediction accuracy
- prediction model
- pattern recognition
- fuzzy logic
- case study
- random walk
- genetic algorithm
- structured data
- neural network ensemble
- graph representation
- artificial neural networks
- neural networks and support vector machines
- graph theoretic
- predictive model
- weighted graph
- bayesian networks
- graph structure
- directed acyclic graph
- graph model
- multi layer perceptron
- test bed
- directed graph
- self organizing maps
- neural network model
- elman network
- back propagation
- chaotic time series
- fault diagnosis
- graph based algorithm
- data dependencies
- graph partitioning
- graph matching
- bipartite graph
- neural nets
- multilayer perceptron