Confidence correction for trained graph convolutional networks.
Junqing YuanHuanlei GuoChenyi ZhouJiajun DingZhenzhong KuangZhou YuYuan LiuPublished in: Pattern Recognit. (2024)
Keyphrases
- small world
- graph representation
- highly connected
- average degree
- random walk
- graph structures
- graph structure
- fully connected
- dynamic networks
- social networks
- confidence level
- directed acyclic graph
- network analysis
- bipartite graph
- community discovery
- degree distribution
- social graphs
- training set
- edge weights
- graph model
- error correction
- weighted graph
- graph theory
- link formation
- graph layout
- structured data
- directed graph
- sparse coding
- overlapping communities
- structural patterns
- community detection
- graph mining
- high confidence
- undirected graph
- heterogeneous networks