GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment.
Junseok LeeYunhak OhYeonjun InNamkyeong LeeDongmin HyunChanyoung ParkPublished in: CoRR (2022)
Keyphrases
- semi supervised
- semi supervised classification
- label propagation
- label information
- unlabeled samples
- partially labeled data
- directed graph
- supervised learning
- class labels
- fully supervised
- graph structure
- semi supervised learning
- training set
- classification accuracy
- edge weights
- machine learning
- class membership
- labeled data
- text classification
- graph construction
- supervised classification
- pairwise
- training data
- weighted graph
- support vector machine
- gaussian process
- co training
- pairwise constraints
- tree structure
- feature set
- training samples
- unlabeled data
- feature space
- decision trees
- labeled examples
- overlapping communities
- labeled graphs
- partially labeled
- labeled and unlabeled data
- labeling scheme
- random walk
- undirected graph
- unsupervised learning