Code Revert Prediction with Graph Neural Networks: A Case Study at J.P. Morgan Chase.
Yulong PeiSalwa AlamirRares DolgaSameena ShahPublished in: CoRR (2024)
Keyphrases
- neural network
- prediction accuracy
- pattern recognition
- artificial neural networks to predict
- prediction model
- graph theory
- directed graph
- weighted graph
- connected components
- artificial neural networks
- neural network ensemble
- data dependencies
- prediction algorithm
- graph representation
- multi layer perceptron
- bipartite graph
- structured data
- protein function prediction
- fuzzy logic
- graph theoretic
- fault diagnosis
- test bed
- neural networks and support vector machines
- random walk
- predictive model
- graph structure
- feed forward
- activation function
- graph model
- directed acyclic graph
- radial basis function network
- back propagation
- normal form
- neural nets
- short term prediction
- sufficient conditions