Graph convolutional networks with higher-order pooling for semisupervised node classification.
Fangyuan LeiXun LiuJianjian JiangLiping LiaoJun CaiHuimin ZhaoPublished in: Concurr. Comput. Pract. Exp. (2022)
Keyphrases
- higher order
- directed graph
- semi supervised
- classification accuracy
- edge weights
- graph structure
- support vector
- overlapping communities
- graph structures
- pattern recognition
- random walk
- pairwise
- semi supervised classification
- image classification
- feature selection
- weighted graph
- transductive learning
- feature extraction
- feature vectors
- conditional random fields
- nodes of a graph
- betweenness centrality
- decision trees
- deep learning
- spanning tree
- supervised learning
- unsupervised learning
- tree structure
- undirected graph
- high order
- social networks
- small world networks
- degree distribution
- network nodes
- restricted boltzmann machine
- community discovery
- natural images
- bayesian networks
- label propagation
- path length
- small world