JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks.
Jian KangQinghai ZhouHanghang TongPublished in: KDD (2022)
Keyphrases
- social networks
- graph structures
- graph structure
- average degree
- dynamic networks
- random walk
- highly connected
- graph layout
- overlapping communities
- graph theory
- small world
- edge weights
- complex networks
- community discovery
- social graphs
- structured data
- fully connected
- network size
- network structure
- graph mining
- graph model
- weighted graph
- graph matching
- degree distribution
- citation networks
- link formation
- neural network
- directed edges
- densely connected
- clustering coefficient
- protein interaction networks
- scale free
- real world networks
- robust optimization
- possibility theory
- community detection
- online social networks
- sparse coding
- directed graph
- connected components
- graphical models