Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks.
Yifan ChenTianning XuDilek Hakkani-TurDi JinYun YangRuoqing ZhuPublished in: CoRR (2022)
Keyphrases
- average degree
- graph theory
- highly connected
- social networks
- dynamic networks
- small world
- edge weights
- graph theoretic
- random sampling
- connected components
- random walk
- structured data
- complex networks
- pairwise
- social graphs
- camera calibration
- graph model
- graph representation
- monte carlo
- graph matching
- overlapping communities
- restricted boltzmann machine
- fully connected
- protein interaction networks
- sampling methods
- sample size
- spanning tree
- bipartite graph
- network structure
- graph structure
- network analysis
- multi layer
- random graphs
- network architecture
- community detection
- graph databases
- community discovery
- weighted graph
- structural patterns
- degree distribution
- sampling algorithm
- heterogeneous networks
- graphical representation
- neural network