HyVulDect: A hybrid semantic vulnerability mining system based on graph neural network.
Wenbo GuoYong FangCheng HuangHaoran OuChun LinYongyan GuoPublished in: Comput. Secur. (2022)
Keyphrases
- neural network
- graph model
- graph theory
- quasi cliques
- graph data
- hybrid intelligent
- artificial neural networks
- mining algorithm
- genetic algorithm
- subgraph mining
- text mining
- directed graph
- frequent subgraphs
- neural network model
- web mining
- frequent patterns
- itemsets
- graph representation
- multi layer
- structured data
- back propagation
- frequent subgraph mining
- fault diagnosis
- graph theoretic
- spanning tree
- data mining
- high level
- natural language
- semantic description
- graph structure
- semantic similarity
- pattern mining
- random walk
- semantic web
- radial basis function
- frequent itemsets
- website
- association rule mining
- neural network is trained
- semantic information
- connected components
- graph patterns
- fuzzy logic
- semantic network
- graph partitioning
- graph databases
- natural language processing
- graph mining
- multilayer perceptron
- domain specific
- data mining techniques