Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification.
Maximilian StadlerBertrand CharpentierSimon GeislerDaniel ZügnerStephan GünnemannPublished in: NeurIPS (2021)
Keyphrases
- overlapping communities
- graph structure
- posterior distribution
- directed graph
- posterior probability
- classification accuracy
- finding the shortest path
- path length
- edge weights
- tree structure
- network structure
- support vector machine
- feature vectors
- network nodes
- graphical representation
- decision theory
- undirected graph
- spanning tree
- neighboring nodes
- feature extraction
- class labels
- graph theory
- bipartite graph
- bayesian methods
- link prediction
- bayesian framework
- random walk
- network topologies
- maximum likelihood
- degree distribution
- peer to peer
- bayesian networks
- densely connected
- machine learning