GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning.
Vikas VermaMeng QuAlex LambYoshua BengioJuho KannalaJian TangPublished in: CoRR (2019)
Keyphrases
- semi supervised learning
- neural network
- graph based semi supervised learning
- supervised learning
- label propagation
- graph construction
- semi supervised classification
- semi supervised
- unlabeled data
- training process
- regularization framework
- labeled data
- labeled training data
- number of labeled examples
- training data
- covariate shift
- unsupervised learning
- machine learning
- labeled examples
- graph laplacian
- training set
- active learning
- manifold regularization
- learning problems
- co training
- training examples
- training samples
- labeled instances
- semi supervised learning algorithms
- weighted graph
- pattern recognition
- labeled and unlabeled data
- domain adaptation
- metric learning
- pairwise constraints
- multiple instance learning
- transfer learning
- unlabeled instances
- e learning
- prior knowledge
- k nearest neighbor
- class labels
- learning models
- learning tasks