funcGNN: A Graph Neural Network Approach to Program Similarity.
Aravind NairAvijit RoyKarl MeinkePublished in: CoRR (2020)
Keyphrases
- neural network
- similarity measure
- similarity graph
- similarity scores
- back propagation
- artificial neural networks
- pattern recognition
- weighted graph
- graph representation
- directed graph
- inexact graph matching
- graph model
- self organizing maps
- neural nets
- normalized cut
- distance measure
- computer programs
- similarity measurement
- graph databases
- graph theoretic
- edit distance
- graph theory
- random walk
- structured data
- genetic algorithm
- fermentation process
- neural network is trained
- topological information
- structural similarity
- bp neural network
- neural network model
- graph partitioning
- semantic similarity
- multi layer
- graph matching
- multi layer perceptron
- connected components
- feed forward
- graph mining
- logic programs
- fuzzy logic
- learning vector quantization
- subgraph isomorphism
- directed acyclic graph
- knn
- mutual reinforcement
- recurrent neural networks