Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs.
Lei CaiZhengzhang ChenChen LuoJiaping GuiJingchao NiDing LiHaifeng ChenPublished in: CIKM (2021)
Keyphrases
- anomaly detection
- dynamic graph
- neural network
- intrusion detection
- directed graph
- connectionist systems
- graph mining
- network intrusion detection
- weighted graph
- graph databases
- detecting anomalies
- anomalous behavior
- graph structure
- unsupervised anomaly detection
- network traffic
- graph model
- one class support vector machines
- detecting anomalous
- pattern recognition
- network security
- negative selection algorithm
- computer security
- behavior analysis
- intrusion detection system
- unsupervised learning
- detect anomalies
- network anomaly detection
- social networks
- data mining applications
- machine learning
- data mining
- decision trees
- training data
- normal behavior
- active learning