Entropy-aware self-training for graph convolutional networks.
Gongpei ZhaoTao WangYidong LiYi JinCongyan LangPublished in: Neurocomputing (2021)
Keyphrases
- average degree
- graph theory
- fully connected
- semi supervised classification
- dynamic networks
- highly connected
- small world
- social networks
- graph structures
- random walk
- semi supervised learning
- graph representation
- complex networks
- directed graph
- edge weights
- graph model
- graph structure
- degree distribution
- bipartite graph
- information theory
- social graphs
- mutual information
- graph layout
- link formation
- directed edges
- citation networks
- clustering coefficient
- graph mining
- betweenness centrality
- network size
- random graphs
- data sets
- directed acyclic graph
- network analysis
- cost sensitive
- network structure
- information theoretic
- structured data
- active learning
- training data
- learning algorithm
- neural network