Graph Random Neural Networks for Semi-Supervised Learning on Graphs.
Wenzheng FengJie ZhangYuxiao DongYu HanHuanbo LuanQian XuQiang YangEvgeny KharlamovJie TangPublished in: NeurIPS (2020)
Keyphrases
- semi supervised learning
- graph construction
- neural network
- graph based semi supervised learning
- semi supervised
- semi supervised classification
- unlabeled data
- label propagation
- labeled data
- neighborhood graph
- k nearest neighbor
- graph structure
- machine learning
- weighted graph
- directed graph
- unsupervised learning
- knn
- supervised learning
- graph kernels
- pattern recognition
- co training
- training data
- adjacency matrix
- graph mining
- graph partitioning
- manifold regularization
- edge weights
- graph clustering
- learning models
- bipartite graph
- spectral clustering
- graph laplacian
- spanning tree
- undirected graph
- semi supervised learning algorithms
- labeled and unlabeled data
- semi supervised clustering
- multi view
- bayesian networks
- pairwise
- pairwise constraints
- dimensionality reduction
- active learning