DII-GCN: Dropedge Based Deep Graph Convolutional Networks.
Jinde ZhuGuojun MaoChunmao JiangPublished in: Symmetry (2022)
Keyphrases
- deep learning
- average degree
- graph representation
- graph theory
- social networks
- small world
- highly connected
- random walk
- edge weights
- graph structure
- weighted graph
- community discovery
- dynamic networks
- graph structures
- structured data
- fully connected
- graph databases
- network architecture
- connected components
- degree distribution
- social network analysis
- bipartite graph
- network structure
- complex networks
- unsupervised feature learning
- functional modules
- network size
- real world networks
- power law
- undirected graph
- spanning tree
- graph model
- directed acyclic graph
- community detection
- network analysis
- graph matching
- computer networks
- semi supervised