ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning.
Zhenwei DaiVasileios IoannidisSoji AdeshinaZak JostChristos FaloutsosGeorge KarypisPublished in: LoG (2022)
Keyphrases
- background knowledge
- data sets
- neural network
- data analysis
- data collection
- database
- prior knowledge
- knowledge discovery
- incremental learning
- training data
- reinforcement learning
- data structure
- data points
- input data
- data processing
- decision trees
- raw data
- labeling effort
- sampling methods
- graph mining
- learning models
- learning algorithm
- connected components
- social networks
- random walk
- data mining techniques
- active learning