Predicting Type Annotations for Python using Embeddings from Graph Neural Networks.
Vladimir IvanovVitaly RomanovGiancarlo SucciPublished in: ICEIS (1) (2021)
Keyphrases
- neural network
- open source
- programming language
- fuzzy logic
- random walk
- graph structure
- directed graph
- pattern recognition
- high dimensional
- dimensionality reduction
- weighted graph
- bipartite graph
- graph representation
- graph mining
- graphical user interface
- genetic algorithm
- multi layer
- graph theory
- manifold learning
- vector space
- general purpose
- case study
- metadata
- connected components
- back propagation