Semi-Supervised Breast Histological Image Classification by Node-Attention Graph Transfer Network.
Liheng GongJingjing YangXiao ZhangPublished in: IEEE Access (2020)
Keyphrases
- image classification
- semi supervised
- overlapping communities
- directed graph
- path length
- graph structure
- finding the shortest path
- semi supervised classification
- semi supervised learning
- label propagation
- feature extraction
- edge weights
- hidden nodes
- graph construction
- network nodes
- small world
- degree distribution
- spanning tree
- heterogeneous social networks
- undirected graph
- peer to peer
- strongly connected
- scale free
- clustering coefficient
- random walk
- neighboring nodes
- wireless sensor networks
- information transfer
- intermediate nodes
- root node
- labeled data
- image representation
- shortest path
- tree structure
- random graphs
- complex networks
- weighted graph
- community discovery
- directed acyclic graph
- small world networks
- computer vision
- source node
- mobile nodes
- bipartite graph
- densely connected
- active learning