A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection.
Ming JinHuan Yee KohQingsong WenDaniele ZambonCesare AlippiGeoffrey I. WebbIrwin KingShirui PanPublished in: CoRR (2023)
Keyphrases
- anomaly detection
- neural network
- intrusion detection
- pattern recognition
- detecting anomalies
- unsupervised learning
- artificial neural networks
- anomalous behavior
- connectionist systems
- network traffic
- pattern classification
- detect anomalies
- network anomaly detection
- detecting anomalous
- unsupervised anomaly detection
- supervised learning
- computer security
- negative selection algorithm
- behavior analysis
- intrusion detection system
- feature extraction
- machine learning
- missing data
- genetic algorithm
- feature selection
- one class support vector machines
- association rules
- cumulative sum
- sparse pca
- support vector
- missing values
- network intrusion
- feature vectors
- support vector machine
- malware detection
- text classification
- network security