A unified framework of graph structure learning, graph generation and classification for brain network analysis.
Peng CaoGuangqi WenWenju YangXiaoli LiuJinzhu YangOsmar R. ZaïanePublished in: Appl. Intell. (2023)
Keyphrases
- maximum likelihood
- network analysis
- parameter estimation
- structure learning
- graph theory
- graph clustering
- em algorithm
- bayesian networks
- directed graph
- random walk
- network structure
- expectation maximization
- directed acyclic graph
- classification algorithm
- complex networks
- graph theoretic
- social network analysis
- community detection
- data sets
- sample size
- machine learning
- higher order
- knowledge discovery