Higher-Order Graph Convolutional Networks With Multi-Scale Neighborhood Pooling for Semi-Supervised Node Classification.
Xun LiuGuoqing XiaFangyuan LeiYikuan ZhangShihui ChangPublished in: IEEE Access (2021)
Keyphrases
- higher order
- semi supervised
- multiscale
- semi supervised classification
- graph structure
- directed graph
- pairwise
- restricted boltzmann machine
- natural images
- labeled and unlabeled data
- overlapping communities
- supervised learning
- semi supervised learning
- support vector machine
- betweenness centrality
- machine learning
- label propagation
- unsupervised learning
- small world
- unlabeled data
- class labels
- decision trees
- feature space
- graph theory
- graph construction
- co training
- training data
- path length
- spanning tree
- degree distribution
- small world networks
- labeled data
- feature vectors
- text classification
- unlabeled samples
- nodes of a graph
- label information
- edge weights
- undirected graph
- graph mining
- community detection
- weighted graph
- complex networks
- support vector
- image segmentation
- social networks