A double-layer attentive graph convolution networks based on transfer learning for dynamic graph classification.
Lei YaoDa GuoXing WangLin ZhuJunlan FengYong ZhangPublished in: Int. J. Mach. Learn. Cybern. (2024)
Keyphrases
- transfer learning
- graph classification
- knowledge transfer
- feature selection
- learning tasks
- vector space
- graph kernels
- machine learning
- reinforcement learning
- graph data
- labeled data
- semi supervised learning
- text categorization
- cross domain
- text classification
- domain adaptation
- multi task
- concept drift
- active learning
- collaborative filtering
- network structure
- social networks
- graph mining
- target domain
- unlabeled data
- label information
- semi supervised
- information retrieval
- structured data
- text mining