Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks.
Jing GuDongmian ZouPublished in: CoRR (2024)
Keyphrases
- anomaly detection
- message passing
- neural network
- singly connected
- belief propagation
- anomalous behavior
- intrusion detection
- connectionist systems
- detecting anomalies
- distributed systems
- network traffic
- factor graphs
- network intrusion detection
- network anomaly detection
- shared memory
- intrusion detection system
- sum product algorithm
- approximate inference
- junction tree
- negative selection algorithm
- pattern recognition
- inference in graphical models
- detect anomalies
- one class support vector machines
- unsupervised learning
- graphical models
- probabilistic inference
- data points
- max product
- stereo matching
- outlier detection
- markov random field
- probabilistic model
- sum product