Graph Convolution Networks for Unsupervised Learning.
Maria Al JreidyJoseph ConstantinFadi DornaikaDenis HamadPublished in: SADASC (2022)
Keyphrases
- unsupervised learning
- average degree
- fully connected
- social graphs
- random walk
- graph structures
- graph theoretic
- network size
- small world
- connected components
- graph model
- edge weights
- graph theory
- bipartite graph
- graph matching
- random graphs
- object recognition
- computer vision
- social networks
- protein interaction networks
- dynamic networks
- community discovery
- graph structure
- feature selection
- network analysis
- image processing
- directed graph
- structured data
- graph mining
- expectation maximization
- directed edges
- overlapping communities
- decision trees
- reinforcement learning
- active learning
- semi supervised
- network structure
- power law
- machine learning
- biological networks
- community detection