Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection.
Yuxiang RenBo WangJiawei ZhangYi ChangPublished in: CoRR (2021)
Keyphrases
- active learning
- neural network
- random walk
- detection algorithm
- detection method
- pattern recognition
- artificial neural networks
- false alarms
- weighted graph
- false positives
- back propagation
- semi supervised
- neural network is trained
- random sampling
- graph structure
- graph model
- bipartite graph
- news articles
- spanning tree
- selective sampling
- label noise
- data mining
- multi agent
- fuzzy logic
- social media
- decision trees
- keywords
- graph representation
- graph databases
- training set
- directed acyclic graph
- learning strategies
- object detection
- supervised learning
- graph theory
- semi supervised learning
- bp neural network
- automatic detection
- anomaly detection