Graph Classification via Graph Structure Learning.
Tu HuynhTuyen-Thanh-Thi HoBac LePublished in: ACIIDS (2) (2022)
Keyphrases
- graph classification
- structure learning
- bayesian networks
- graphical models
- feature selection
- vector space
- graph kernels
- conditional independence
- graph data
- transfer learning
- parameter estimation
- network structure
- concept drift
- graph mining
- markov networks
- structured data
- graph structure
- gaussian processes
- higher order
- machine learning