GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment.
Junseok LeeYunhak OhYeonjun InNamkyeong LeeDongmin HyunChanyoung ParkPublished in: SIGIR (2022)
Keyphrases
- semi supervised
- label propagation
- semi supervised classification
- unlabeled samples
- label information
- class labels
- supervised learning
- semi supervised learning
- partially labeled data
- classification accuracy
- graph structure
- directed graph
- multi label classification
- labeled data
- labeled and unlabeled data
- machine learning
- pairwise
- fully supervised
- random walk
- graph construction
- unlabeled data
- support vector
- class membership
- edge weights
- undirected graph
- gaussian process
- active learning
- training set
- data distribution
- probability density function
- tree structure
- partially labeled
- multi label
- unsupervised learning
- decision trees
- feature extraction
- training data
- feature space
- feature selection
- density estimation
- labeled graphs
- root node
- feature vectors
- semi supervised clustering
- image classification
- text classification
- model selection
- unsupervised clustering
- random variables