GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection.
Yixin LiuKaize DingHuan LiuShirui PanPublished in: WSDM (2023)
Keyphrases
- graph theory
- false alarms
- detection accuracy
- random walk
- false positives
- semi supervised
- automatic detection
- random variables
- probability distribution
- bipartite graph
- graph theoretic
- detection method
- unsupervised learning
- data driven
- graph representation
- active learning
- graph data
- graph model
- graph mining
- graph structure
- directed graph
- event detection
- object detection