Reinforced Sample Selection for Graph Neural Networks Transfer Learning.

Bo Wu Xun Liang Xiangping Zheng Jun Wang Xiaoping Zhou

Published in: BIBM (2022)

Keyphrases

transfer learning
sample selection
active learning
neural network
labeled data
learning tasks
knowledge transfer
training data
cross domain

semi supervised learning
pattern recognition
machine learning
unlabeled data
semi supervised
transfer knowledge
learning algorithm
collaborative filtering
reinforcement learning

machine learning algorithms
text mining
supervised learning
text categorization
multi task
data sets
transferring knowledge
training examples
text classification

genetic algorithm
learning problems
support vector machine
learning process
training set
fuzzy neural network
selection strategy
data analysis
feature extraction