On Dropping Clusters to Regularize Graph Convolutional Neural Networks.
Xikun ZhangChang XuDacheng TaoPublished in: ECCV (21) (2020)
Keyphrases
- convolutional neural networks
- graph clustering
- convolutional network
- clustering algorithm
- graph structure
- graph theory
- proximity graph
- graph representation
- weighted graph
- connected components
- directed graph
- bipartite graph
- graph theoretic
- data clustering
- random walk
- hierarchical clustering
- dense subgraphs
- structured data
- graph partitioning
- fuzzy clustering
- data points
- agglomerative clustering
- input data
- graph model
- self organizing maps
- fuzzy c means
- directed acyclic graph
- normalized cut
- similarity scores
- hierarchical structure
- cluster analysis
- graph matching
- high dimensional
- image segmentation