Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs.
Lei CaiZhengzhang ChenChen LuoJiaping GuiJingchao NiDing LiHaifeng ChenPublished in: CoRR (2020)
Keyphrases
- anomaly detection
- dynamic graph
- neural network
- intrusion detection
- graph structure
- detecting anomalies
- connectionist systems
- directed graph
- weighted graph
- anomalous behavior
- network intrusion detection
- graph databases
- network traffic
- detecting anomalous
- graph model
- intrusion detection system
- detect anomalies
- graph mining
- computer security
- unsupervised anomaly detection
- network security
- pattern recognition
- data mining
- behavior analysis
- unsupervised learning
- network intrusion
- computer vision
- genetic algorithm
- self organizing maps
- active learning
- decision trees
- cumulative sum