Focus on informative graphs! Semi-supervised active learning for graph-level classification.
Wei JuZhengyang MaoZiyue QiaoYifang QinSiyu YiZhiping XiaoXiao LuoYanjie FuMing ZhangPublished in: Pattern Recognit. (2024)
Keyphrases
- semi supervised
- active learning
- graph construction
- semi supervised classification
- supervised learning
- semi supervised learning
- labeled data
- graph classification
- selective sampling
- graph representation
- graph embedding
- transductive learning
- graph theory
- label propagation
- weighted graph
- label information
- labeled and unlabeled data
- training set
- graph matching
- graph structure
- unlabeled data
- graph theoretic
- graph databases
- co training
- graph mining
- bipartite graph
- directed graph
- fully supervised
- machine learning
- class labels
- graph partitioning
- graph search
- graph representations
- random walk
- pairwise
- pairwise constraints
- undirected graph
- graph model
- random graphs
- cost sensitive
- graph kernels
- labeled graphs
- support vector
- feature selection
- active learning framework
- rare class
- graph properties
- graph layout
- spanning tree
- adjacency matrix
- graph structures
- semi supervised clustering
- transfer learning
- structured data
- text classification
- learning algorithm