Explaining Graph Neural Networks for Vulnerability Discovery.
Tom GanzMartin HärterichAlexander WarneckeKonrad RieckPublished in: AISec@CCS (2021)
Keyphrases
- neural network
- graph theory
- artificial neural networks
- directed graph
- graph representation
- pattern recognition
- back propagation
- multilayer perceptron
- fuzzy logic
- graph structure
- random walk
- structured data
- graph theoretic
- connected components
- graph databases
- neural network model
- graph model
- weighted graph
- bipartite graph
- graph partitioning
- discovery process
- graph search
- neural nets
- feed forward
- knowledge discovery
- self organizing maps
- fault diagnosis
- rule extraction
- stable set
- web graph
- multi layer perceptron
- directed acyclic graph
- training process
- data mining