DualGAD: Dual-bootstrapped self-supervised learning for graph anomaly detection.
Hui TangXun LiangJun WangSensen ZhangPublished in: Inf. Sci. (2024)
Keyphrases
- anomaly detection
- connectionist systems
- intrusion detection
- anomalous behavior
- learning process
- detecting anomalies
- unsupervised learning
- learning algorithm
- behavior analysis
- learning problems
- active learning
- network intrusion detection
- intrusion detection system
- reinforcement learning
- unsupervised anomaly detection
- negative selection algorithm
- data sets
- artificial immune system
- maximum entropy
- network traffic
- pairwise
- computer vision
- genetic algorithm
- machine learning