Every Node Counts: Self-Ensembling Graph Convolutional Networks for Semi-Supervised Learning.
Yawei LuoTao GuanJunqing YuPing LiuYi YangPublished in: CoRR (2018)
Keyphrases
- semi supervised learning
- graph based semi supervised learning
- graph construction
- label propagation
- semi supervised classification
- semi supervised
- edge weights
- graph structure
- unlabeled data
- directed graph
- labeled data
- graph laplacian
- supervised learning
- weighted graph
- training data
- manifold regularization
- machine learning
- degree distribution
- unsupervised learning
- active learning
- random walk
- semi supervised learning algorithms
- complex networks
- transfer learning
- co training
- social networks
- undirected graph
- bipartite graph
- semi supervised learning methods
- pairwise
- labeled and unlabeled data
- network structure
- shortest path
- metric learning
- community structure
- learning tasks
- protein interaction networks
- text classification
- reinforcement learning