Predicting vulnerability inducing function versions using node embeddings and graph neural networks.
Sefa Eren SahinEcem Mine ÖzyedierlerAyse TosunPublished in: Inf. Softw. Technol. (2022)
Keyphrases
- neural network
- graph structure
- directed graph
- genetic algorithm
- weighted graph
- undirected graph
- tree structure
- random walk
- pattern recognition
- vector space
- fuzzy logic
- path length
- bipartite graph
- graph representation
- root node
- edge weights
- graph mining
- directed acyclic graph
- multilayer perceptron
- structured data
- dimensionality reduction
- artificial neural networks
- euclidean space
- neural nets
- feed forward
- neural network model
- graph model
- spanning tree
- risk assessment
- back propagation
- graph theoretic
- nonlinear functions
- decision trees