Graph-Assisted Bayesian Node Classifiers.
Hakim HafidiPhilippe CiblatMounir GhoghoAnanthram SwamiPublished in: IEEE Access (2023)
Keyphrases
- graph structure
- directed graph
- edge weights
- undirected graph
- support vector
- finding the shortest path
- nodes of a graph
- random walk
- multiple classifiers
- training data
- path length
- bipartite graph
- overlapping communities
- class conditional densities
- decision trees
- graph model
- graph theory
- root node
- graph representation
- feature selection
- bayesian networks
- training set
- test set
- tree structure
- bayesian inference
- machine learning
- maximum likelihood
- machine learning algorithms
- svm classifier
- directed acyclic graph
- posterior distribution
- weighted graph
- graph matching
- graph databases
- posterior probability
- strongly connected
- graphical models
- probabilistic model
- betweenness centrality
- anytime classification