-Laplacian graph convolutional networks.
Sichao FuWeifeng LiuYicong ZhouLiqiang NiePublished in: Neurocomputing (2019)
Keyphrases
- average degree
- sparse coding
- graph laplacian
- small world
- graph representation
- random walk
- connected components
- social networks
- deep learning
- directed acyclic graph
- graph theory
- graph theoretic
- fully connected
- community discovery
- overlapping communities
- structured data
- highly connected
- dynamic networks
- edge weights
- spectral decomposition
- edge detection
- network architecture
- network analysis
- bipartite graph
- directed graph
- natural images
- graph model
- path length
- graph mining
- protein interaction networks
- graph structure
- graph matching
- real world graphs
- social network analysis
- graphical models