GCN-based Multi-task Representation Learning for Anomaly Detection in Attributed Networks.
Venus HaghighiBehnaz SoltaniAdnan MahmoodQuan Z. ShengJian YangPublished in: CoRR (2022)
Keyphrases
- anomaly detection
- multi task
- multi task learning
- learning tasks
- multiple tasks
- connectionist systems
- intrusion detection
- learning algorithm
- learning problems
- learning process
- detecting anomalies
- multitask learning
- network intrusion detection
- active learning
- multi class
- supervised learning
- unsupervised learning
- prior knowledge
- network anomaly detection
- machine learning algorithms
- network traffic
- intrusion detection system
- data sets
- bayesian networks
- neural network