Motif-driven Subgraph Structure Learning for Graph Classification.
Zhiyao ZhouSheng ZhouBochao MaoJiawei ChenQingyun SunYan FengChun ChenCan WangPublished in: CoRR (2024)
Keyphrases
- graph classification
- structure learning
- bayesian networks
- graphical models
- vector space
- conditional independence
- feature selection
- graph data
- concept drift
- parameter estimation
- transfer learning
- graph kernels
- network structure
- sample size
- markov networks
- prior knowledge
- multi label
- graph mining
- semi supervised
- text mining