Select and calibrate the low-confidence: dual-channel consistency based graph convolutional networks.
Shuhao ShiJian ChenKai QiaoShuai YangLinyuan WangBin YanPublished in: Appl. Intell. (2023)
Keyphrases
- dual channel
- average degree
- structured data
- small world
- fully connected
- network structure
- graph structure
- overlapping communities
- degree distribution
- graph model
- dynamic networks
- graph theory
- confidence measure
- complex networks
- confidence level
- graph structures
- global consistency
- structural patterns
- graph theoretic
- random walk
- graph representation
- highly connected
- graph partitioning
- network architecture
- social graphs
- path length
- selection algorithm
- bipartite graph
- network size
- graph layout
- community discovery
- neural network
- graph mining algorithms
- deep learning
- high confidence
- heterogeneous networks
- edge weights
- graphical representation
- biological networks
- directed acyclic graph
- network analysis
- weighted graph
- graph matching
- directed graph
- connected components