CFGAT: A Coarse-to-Fine Graph Attention Network for Semi-supervised Node Classification.
Dongmei CuiFusheng JinRong-Hua LiGuoren WangPublished in: ICTAI (2020)
Keyphrases
- coarse to fine
- semi supervised
- semi supervised classification
- multiscale
- multiresolution
- supervised learning
- overlapping communities
- finding the shortest path
- object detection
- path length
- hierarchical segmentation
- pattern recognition
- graph structure
- directed graph
- image registration
- dynamic programming
- hierarchical representation
- image pyramid
- complex networks
- semi supervised learning
- machine learning
- feature extraction
- support vector
- wireless sensor networks
- text classification
- feature selection
- strongly connected
- feature space
- label propagation
- training set
- feature vectors
- network structure
- unlabeled data
- spanning tree
- edge weights
- small world
- pairwise
- matching scheme
- support vector machine
- training samples
- face recognition
- neural network
- densely connected
- multi class