Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks.
Jing GuDongmian ZouPublished in: LoG (2023)
Keyphrases
- anomaly detection
- message passing
- neural network
- singly connected
- anomalous behavior
- connectionist systems
- intrusion detection
- belief propagation
- probabilistic inference
- detecting anomalies
- distributed systems
- network intrusion detection
- factor graphs
- network traffic
- intrusion detection system
- approximate inference
- shared memory
- detect anomalies
- one class support vector machines
- network anomaly detection
- negative selection algorithm
- pattern recognition
- junction tree
- sum product
- markov random field
- unsupervised learning
- sum product algorithm
- inference in graphical models
- outlier detection
- max product
- image processing
- support vector machine
- graphical models
- data sets