Toward Unsupervised Graph Neural Network: Interactive Clustering and Embedding via Optimal Transport.
Liang YangJunhua GuChuan WangXiaochun CaoLu ZhaiDi JinYuanfang GuoPublished in: ICDM (2020)
Keyphrases
- neural network
- unsupervised learning
- graph theoretic
- self organizing maps
- agglomerative clustering
- clustering algorithm
- graph clustering
- graph embedding
- semi supervised
- artificial neural networks
- clustering method
- graph partitioning
- k means
- competitive learning
- normalized cut
- unsupervised manner
- graph representation
- unsupervised classification
- graph model
- neural gas
- dynamic programming
- optimal solution
- unsupervised feature selection
- cluster validation
- vector space
- structured data
- fuzzy clustering
- pattern recognition
- unsupervised clustering
- supervised learning
- web people search
- back propagation
- fuzzy artmap
- information theoretic
- binary decision tree
- data clustering
- nodes of a graph
- completely unsupervised
- word sense induction
- cluster structure
- data hiding
- spanning tree
- directed acyclic graph
- weighted graph
- graph theory
- directed graph
- cluster analysis
- high dimensional data
- data points