RIGNN: A Rationale Perspective for Semi-supervised Open-world Graph Classification.
Xiao LuoYusheng ZhaoZhengyang MaoYifang QinWei JuMing ZhangYizhou SunPublished in: Trans. Mach. Learn. Res. (2023)
Keyphrases
- open world
- graph classification
- semi supervised
- closed world
- incomplete information
- vector space
- semi supervised learning
- feature selection
- unlabeled data
- supervised learning
- data exchange
- pairwise
- labeled data
- query answering
- graph kernels
- concept drift
- knowledge base
- graph data
- database
- data integration
- relational data
- xml documents
- metadata
- data sets