Towards Anomaly-resistant Graph Neural Networks via Reinforcement Learning.
Kaize DingXuan ShanHuan LiuPublished in: CIKM (2021)
Keyphrases
- neural network
- reinforcement learning
- function approximation
- anomaly detection
- graph structure
- pattern recognition
- function approximators
- random walk
- graph representation
- directed graph
- artificial neural networks
- graph model
- fuzzy logic
- learning algorithm
- graph theory
- intrusion detection
- directed acyclic graph
- spanning tree
- learning capabilities
- structured data
- graph theoretic
- multi agent
- state space
- weighted graph
- control system
- model free
- graph construction
- temporal difference
- fuzzy systems
- multi layer
- optimal control
- recurrent neural networks
- graph matching
- network traffic
- back propagation
- unsupervised learning
- semi supervised
- multi agent systems
- machine learning