Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering.
Yaoming CaiZijia ZhangZhihua CaiXiaobo LiuYao DingPedram GhamisiPublished in: CoRR (2021)
Keyphrases
- semi supervised learning
- graph construction
- graph based semi supervised learning
- unsupervised learning
- label propagation
- semi supervised classification
- semi supervised
- unlabeled data
- semi supervised clustering
- labeled data
- supervised learning
- graph laplacian
- dirichlet process mixture models
- spectral clustering
- network analysis
- graph clustering
- labeled and unlabeled data
- manifold regularization
- data clustering
- k means
- clustering algorithm
- machine learning
- transfer learning
- co training
- data points
- sparse coding
- community detection
- semi supervised learning methods
- active learning
- metric learning
- social networks
- clustering method
- complex networks
- semi supervised learning algorithms
- graph structure
- data mining
- document clustering
- feature space
- dimensionality reduction
- similarity graph
- protein interaction networks
- training data
- pairwise
- edge weights
- text classification
- bipartite graph
- network structure