JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks.
Jian KangQinghai ZhouHanghang TongPublished in: CoRR (2022)
Keyphrases
- edge weights
- highly connected
- graph theory
- social networks
- fully connected
- average degree
- graph representation
- network analysis
- complex networks
- small world
- overlapping communities
- graph model
- graph structures
- graph structure
- bipartite graph
- directed graph
- structural patterns
- community discovery
- betweenness centrality
- graph layout
- random walk
- deep learning
- graph theoretic
- uncertain data
- network structure
- structured data
- path length
- network size
- graph mining
- weighted graph
- social graphs
- conditional probabilities
- graph mining algorithms