Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification.
Maximilian StadlerBertrand CharpentierSimon GeislerDaniel ZügnerStephan GünnemannPublished in: CoRR (2021)
Keyphrases
- graph structure
- finding the shortest path
- directed graph
- path length
- posterior probability
- degree distribution
- posterior distribution
- overlapping communities
- support vector machine
- feature vectors
- machine learning
- complex networks
- support vector
- graph theory
- betweenness centrality
- probability distribution
- bayesian networks
- edge weights
- spanning tree
- classification accuracy
- graphical representation
- shortest path
- peer to peer
- hidden nodes
- feature selection
- densely connected
- probabilistic model
- neighboring nodes
- graphical models
- source node
- feature extraction
- network nodes
- conditional probabilities
- network topologies
- predictive modeling
- text classification
- wireless sensor networks
- community structure