Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation.
Zhaoyang ChuYao WanQian LiYang WuHongyu ZhangYulei SuiGuandong XuHai JinPublished in: CoRR (2024)
Keyphrases
- neural network
- pattern recognition
- causal reasoning
- detection method
- graph theory
- false alarms
- random walk
- automatic detection
- detection accuracy
- directed acyclic graph
- detection algorithm
- false positives
- graph representation
- self organizing maps
- event detection
- detection rate
- genetic algorithm
- neural network model
- back propagation
- fuzzy logic
- artificial neural networks
- fault diagnosis
- feed forward
- graph matching
- sufficient conditions
- weighted graph
- multi layer
- object detection
- graph mining
- knn
- graph partitioning
- random graphs
- image segmentation
- selecting a small number