Graph-Assisted Bayesian Node Classifiers.

Hakim Hafidi Philippe Ciblat Mounir Ghogho Ananthram Swami

Published 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