Going Deep: Graph Convolutional Ladder-Shape Networks.
Ruiqi HuShirui PanGuodong LongQinghua LuLiming ZhuJing JiangPublished in: AAAI (2020)
Keyphrases
- deep learning
- series parallel
- edge weights
- shape model
- graph representation
- weighted graph
- random walk
- average degree
- small world
- unsupervised feature learning
- topological information
- community discovery
- dynamic networks
- fully connected
- bipartite graph
- graph theory
- graph model
- shape analysis
- primal sketch
- complex networks
- graph matching
- structured data
- overlapping communities
- shape descriptors
- graph structures
- network structure
- social graphs
- social networks
- graph layout
- directed edges
- shape prior
- shape features
- topological features
- shape matching
- graphical representation
- biological networks
- graph partitioning
- medial axis
- directed acyclic graph
- network analysis