Regularizing Semi-supervised Graph Convolutional Networks with a Manifold Smoothness Loss.
Qilin LiWanquan LiuLing LiPublished in: CoRR (2020)
Keyphrases
- semi supervised
- graph embedding
- manifold learning
- graph construction
- semi supervised classification
- manifold regularization
- label propagation
- neighborhood graph
- semi supervised learning
- graph laplacian
- complex networks
- graph structure
- graph theory
- small world
- graph structures
- community detection
- graph layout
- pairwise
- high dimensional
- unsupervised learning
- random walk
- supervised learning
- edge weights
- labeled data
- deep learning
- average degree
- low dimensional
- cost function
- betweenness centrality
- citation networks
- community discovery
- fully connected
- unlabeled data
- power law
- sparse coding
- image segmentation
- multi view
- graph mining