Detecting Contextual Network Anomalies with Graph Neural Networks.
Hamid Latif-MartínezJosé Suárez-VarelaAlbert Cabellos-AparicioPere Barlet-RosPublished in: CoRR (2023)
Keyphrases
- neural network
- detect anomalies
- anomaly detection
- dynamic networks
- hopfield network
- detecting anomalies
- graphical representation
- network architecture
- structured data
- network traffic
- small world
- hopfield networks
- fully connected
- link prediction
- pattern recognition
- random walk
- network structure
- network model
- random graphs
- genetic algorithm
- neural network structure
- contextual information
- abnormal events
- degree distribution
- complex networks
- computer networks
- neural network model
- recurrent networks
- hopfield neural network
- graph theoretic
- feed forward
- graph model
- overlapping communities
- network configuration
- bipartite graph