Scalable and Inductive Semi-supervised Classifier with Sample Weighting Based on Graph Topology.
Fadi DornaikaZoulfikar IbrahimAlireza BosaghzadehPublished in: ACM Trans. Knowl. Discov. Data (2024)
Keyphrases
- supervised classifiers
- supervised classification
- small world
- graph representation
- machine learning
- connected components
- graph theoretic
- structured data
- graph model
- sentiment analysis
- graph structure
- graph theory
- random walk
- data sets
- directed acyclic graph
- bipartite graph
- inductive learning
- directed graph
- semi supervised learning
- graph matching
- weighted graph
- data points
- graph databases
- training set
- image processing
- weighting scheme
- graph data
- information retrieval
- sample points
- supervised learning