Explicit pairwise factorized graph neural network for semi-supervised node classification.
Yu WangYuesong ShenDaniel CremersPublished in: UAI (2021)
Keyphrases
- semi supervised
- pairwise
- neural network
- semi supervised classification
- supervised learning
- pattern recognition
- learning vector quantization
- unsupervised learning
- graph structure
- label propagation
- semi supervised learning
- unlabeled samples
- unlabeled data
- labeled data
- training process
- multi layer perceptron
- classification accuracy
- graph construction
- co training
- graph matching
- labeled and unlabeled data
- directed graph
- image classification
- incremental learning
- pairwise classification
- pairwise interactions
- binary decision tree
- label information
- class labels
- feature selection
- similarity measure
- active learning
- machine learning
- decision trees
- artificial neural networks
- pairwise constraints
- markov random field
- undirected graph
- text classification
- multi view
- structured data
- support vector machine
- k means
- training set
- random walk
- feature extraction
- overlapping communities
- bipartite graph
- similarity function